Healthcare AI News 9/11/24

News

Apple announces Apple Intelligence, which will add AI capabilities to the latest models of IPhones, MacBooks, and IPads with the launch of IOS 18 later this month. It will include:

• Writing tools that can rewrite text, proofread, summarize, and suggest content for an email reply.
• A new version of Siri that supports voice and typing.
• Photo tools for removing unwanted objects, searching by content, and creating user-defined memory movies.
• Phone call recording and transcription.
• Coming later will be Visual Intelligence (searching by taking photo), an emoji generator, custom image creation, and connections to ChatGPT and third-party apps.

Apple adds sleep apnea detection for the Apple Watch using a new Breathing Disturbances metric and AI analysis.

OpenAI will reportedly release its Strawberry reasoning-focused AI as part of ChatGPT within two weeks. The system “thinks” for up to 10-20 seconds before responding to provide better responses. 

Business

Japan’s drug and medical device agency approves IRhythm’s Zio AI-interpreted, 14-day cardiac monitoring patch that patients mail in to the company for analysis and reporting to their physician as an alternative to the Holter monitor.

Salesforce announces out-of-the-box AI services for 15 industries, including patient services and benefits verification for healthcare.

Philips will significantly expand its health technology work in India, especially that related to AI. The company’s innovation campus in Bengaluru houses 5,000 employees who focus on generative AI solutions for healthcare.

Drug maker Gilead Sciences contracts with Genesis Therapeutics to use its molecular AI platform to discover therapies. Gilead will pay Genesis $35 million upfront for three potential drugs, with additional payments for meeting development, regulatory, and commercial milestones. Genesis, which has raised $280 million in funding, is led by 32-year-old co-founder and CEO Evan Feinberg, PhD.

Research

Researchers from MIT, Massachusetts General Hospital, and Harvard Medical School develop ScribblePrompt, which segments biomedical images from human annotations.

Other

Hippocratic AI and healthcare education firm Adtalem Global Education will develop clinician AI training modules that will emphasize the learning needs of nurses.

A survey of UK doctors finds that nearly 90% are worried that patients who use generative AI for medical inquiries will receive misinformation. More than half are enthusiastic for using AI to provide diagnostic and treatment options to doctors themselves, while 83% think that government or medical associations should oversee AI’s use in healthcare.

Saudi Arabia’s King Faisal Specialist Hospital and Research Center, which established a dedicated AI center in 2019, has developed 20 AI-powered diagnostic and treatment applications. The applications automate tasks such as summarizing medical literature and monitoring patient progress, which it says has reduced bed wait times from 32 hours to six.

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Healthcare AI News 9/4/24

News

A legal advisor recommends that doctors not use AI to respond to patient complaints. She says that AI’s responses may use country-specific laws (most likely from the US), generate misleading statements, and ask for confidential information that could breach privacy laws. She also notes that patients may find AI’s wording to be insincere or indicative that their complaint didn’t warrant a human response.

Business

Aidoc adds seven AI solutions for the European health market. Four of them address notification and triage of vessel occlusion, aortic dissection, vertebral compression fractures, and malpositioned endotracheal tube. The others involve quantitative assessments for midline shift, coronary artery calcification, and abdominal aortic measurement.

Imaging-based real world evidence vendor Segmed raises $10.4 million in a Series A funding round, with Advocate Health being among the investors. The company will use the proceeds to expand its use of AI.

Samsung acquires France-based fetal ultrasound AI software vendor Sonio, whose product is FDA 510(k) cleared in the US, for $92 million.

Research

A study finds that AI models can guess a patient’s self-reported race based on technical aspects of radiology images, which could perpetuate diagnosis bias. The authors note that setting a score threshold for the relevant factors can mitigate some of the bias.

Other

Digital transformation leader David Bray, PhD, MSPH says that it’s imperative that AI-generated outputs be labeled consistently to avoid “AI self-cannibalization,” which occurs when AI models are recursively trained on data that was created by previous AI work. He believes that HL-7 standards could be expanded to provide healthcare data provenance to create a traceable, transparent AI ecosystem and to support interoperability.

Actor Tom Hanks warns fans that online ads for “miracle cures and wonder drugs” are using AI-generate images of him, for which he didn’t consent.

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Healthcare AI News 8/28/24

News

Medscape launches a free AI scribe for US physicians that can summarize a patient visit in SOAP, H&P, or POMR format.

Researchers find that about only about half of the 500 AI-powered medical devices that have been approved by FDA were validated on real patient data, raising concerns about their clinical effectiveness and the FDA’s review standards. Three-fourths of the authorizations involved radiology products.

Business

MUSC Health rolls out an Epic-integrated AI agent from SoundHound AI that can answer patient questions and manage appointments. SoundHound acquired Amelia AI, which sells conversational AI agents to multiple verticals outside of healthcare and had raised nearly $200 million, for $80 million three weeks ago. SoundHound went public via a SPAC merger in 2021 at a $2.1 billion valuation, now down to $1.7 billion.

Human Longevity, Inc., which uses AI to identify the early stages of age-related conditions for paying members of its 100+ longevity program, raises $40 million in a Series B funding round.

Other

Google’s API-accessible HeAR AI model (Health Acoustic Representations), which was trained on 100 million cough sounds, serves as the foundation of an India-based company’s tool that assesses lung health and detects tuberculosis.

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Healthcare AI News 8/21/24

News

Epic R&D SVP Seth Hain, MS gives UGM attendees an idea of how the company is thinking about AI use cases. His example was an AI-initiated outreach call to a recovering wrist surgery patient that asks them to rate their pain, instructs them to move their hand in front of their phone’s camera, and then analyzes their range of motion to compare with similar patients in Cosmos to show them their relative progress. Epic also noted that 65 sites are live on Look Alikes, which taps into its Cosmos database to help diagnose rare conditions.

Singapore’s National University Health System is using an AI platform that it developed on Amazon Web Services to draft documents and summarize patient data, which it says has reduced the time required for administrative tasks by 40%. It is working on event-driven models that could perform tasks automatically, such as automatically drafting a discharge letter when a patient is going home.

Business

PayZen, which allows providers to offer their patients AI-powered installment payment plans, raises a $32 million Series B funding round that also includes a $200 million debt facility.

Research

Researchers find that AI analysis of facial expressions from images and video streams can predict health deterioration in patients who are unable to communicate, with an accuracy of 99.8%. Other potential uses include a “health monitoring mirror” for home use and a pre-visit analysis tool for telehealth encounters.

A machine learning model can predict autism spectrum disorder in children under 2 years old by using 28 data points from their medical histories and background. Current methods diagnose the condition at a median of 5 years old, providing an opportunity for earlier intervention. Date elements include sex, gestational age, problems with eating, birth complications or defects, growth and neurological conditions, household education and income, and ages at which the child first sat up, walked, and fed themselves.

Researchers apply AI to traditional Chinese medicine practices of identifying medical conditions by tongue color with 98% accuracy in a small study. Practitioners believe that the color, shape, and thickness of the tongue can reveal health conditions such as diabetes, cancer, stroke, anemia, COVID-19, asthma, and vascular and gastrointestinal issues.

Other

St. Catherine University analyzes LinkedIn job postings to determine which US cities have the highest demand for AI talent. The top five, with the number of AI jobs per 1,000 healthcare listings:

• Durham, NC (29)
• Colorado Springs, CO (28)
• Provo, UT (14)
• Ogden, UT (13)
• McAllen, TX (12)

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Healthcare AI News 8/14/24

News

Google launches the Pixel Watch 3, whose health-related features include workout biometrics, cardiac tracking, planning and guiding tools for runners, and loss-of-pulse detection that can contact emergency services. The watch costs $350 for the Bluetooth/WiFi version in 41 mm size.

Google also announces Gemini Live, which offers conversational AI for hands-free conversations and integration with apps. It will be available via the Gemini app on Android or as a tab on the Google app for IOS.

Microsoft announces enhancements to Nuance Dragon Ambient EXperience (DAX) Copilot that include the ability to generate referral letters, summaries of evidence, after-visit summaries, and encounter summaries. It also provides user coaching for areas where additional verbalizing would create more complete notes.  

Business

Medical device and equipment manufacturer Stryker will acquire Care.ai to offer customers smart hospital solutions that address nursing shortages, staff retention, and workplace safety. The technology will be integrated with Stryker’s Vocera system, which it acquired for $3 billion in January 2022.

Elise.ai, which sells AI assistants and customer relationship technology to property management companies, raises $75 million in a Series D funding round that values the company at $1 billion. Its Health AI business automates patient conversations and manages appointment scheduling and patient payment.

Amazon describes how its AI work is helping transform healthcare:

• Improving health visits via its HealthScribe ambient documentation service.
• A collaboration with EvolutionaryScale to enable researchers to design new proteins.
• More efficient prescription filling and better customer service in Amazon Pharmacy.
• Using AWS Textract intelligent document processing in Amazon Pharmacy to extract and structure information from digital and paper prescriptions, which allows order processing that is up to 90% faster.
• Partnering with health systems, insurers, and life sciences companies to uncover patient insights while ensuring privacy and security.

Research

Amazon describes the technical underpinnings of its Bedrock service that extracts unstructured data from standardized form entries, using healthcare as an example.

Other

Researchers postulate that clinicians, specifically radiologists, and AI do not make up a synergistic team, as humans rely on their knowledge and environment but AI learns from its own correlations and is not limited by context. They say that AI development is outpacing the understanding of its clinical value and the challenges that are involved in its integration.

Tests of open-source, locally hosted LLMs such as Meta Llama 3 matched the performance of ChatGPT and Claude in answering radiology board exam questions, raising the possibility of healthcare use without the expense and privacy concerns of hosted LLMs.

The minister of health of the Netherlands believes that AI can help solve staff shortages, as tightened immigration laws rule out bringing in workers from other countries.

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Healthcare AI News 8/7/24

News

CHIME publishes a report of 10 principles, with detailed recommendations for each, that will ensure the ethical and effective implementation of AI in healthcare.

Amazon’s One Medical team is reportedly considering developing an AI agent called DoctorAI that would optimize clinician tasks, make product and service recommendations, and manage customer service requests.

In England, NHS trusts are using patient engagement prediction software from Deep Medical to identify patients who are likely to no-show or cancel their appointments with short notice. Volunteers reach out to the patients who are identified by the system three weeks ahead of time to see if they need assistance – such as with transport, translation, or parking fees – and to reschedule their appointments in the event of conflicts. NHS England says that patients don’t show up for 6.4% of its 125 million outpatient appoints each year at a cost of nearly $2 billion.

FDA announces the members of its newly formed Digital Health Advisory Committee, which will hold its first meeting in November to discuss total product life cycle considerations for AI-enabled devices.

Switzerland-based Sonova introduces the first hearing aid that uses real-time AI to improve speech clarify from background noise.

Business

CMS approves separate Medicare payment for Annalise.ai’s obstructive hydrocephalus portion of its critical care platform. The company says the solution, which triages non-contrast brain CT scans, is the only radiology triage device that can be billed for additional hospital payment.

Research

Researchers find that ChatGPT isn’t good at diagnosing patient conditions. It incorrectly analyzed half of a set of the 150 case challenges it was given, where it struggled with interpreting lab values and imaging results and failed to use complete information that was relevant to the diagnosis. They found that it works well as an educational tool, did a good job with differential diagnosis, and accurately suggested next diagnostic steps.

Other

In England, nine hospital trusts are using Ufonia’s Dora conversational clinical assistant to call patients three weeks after their cataract surgery and alert clinicians if they need further care. Two-thirds patients who undergo cataract surgery, which is performed 500,000 times per year, do not require an in-person appointment. The company is a spin-off of Oxford Unversity.

A pain patient’s op-ed piece expresses skepticism about AI in healthcare:

• Hospitals could have already solved the same patient problems if they really wanted to.
• The real motivation for health systems to use AI is to make more money rather than to lower patient bills.
• AI-drafted responses and emails to patients are easy to spot, and many of the initial patient emails were generated because of inefficient policies, such as requiring patients who have incurable conditions to contact their doctor every month to have their pain medication refill approved.

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Healthcare AI News 7/31/24

News

OpenAI launches user testing of SearchGPT, which returns attributed web links from trusted publishers and can answer follow-up questions.

OpenAI begins rollout of Advanced Voice Mode for ChatGPT, which can conduct natural conversations, allows the user to interrupt, and tailors its responses based on speech cues about the user’s emotions.

Business

Bloomberg reviews Google’s healthcare projects – which include high-profile failures – and its work with HCA to use AI for nurse handoffs and ED physician documentation.

Cleveland Clinic hires Ben Shahshahani, PhD (SiriusXM) as its first chief AI officer.

Writer Inc. launches Palmyra-Med-70b, a large language model that the company’s benchmarks indicate is the most accurate available. Palmyra-Med named Vizient, CirrusMD, and Medisolv as Palmyra-Med users.

Research

Study participants trust medical advice less if AI was involved in its creation — even if they know that humans have reviewed the AI draft — and are less likely to follow any advice in which AI played a part.

Researchers find that AI can predict chronic pain in breast cancer patients, which could support early identification and personalized management.

Other

Doctors at University of Vermont Health Network are saving three hours per day in using Abridge for ambient documentation.

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Healthcare AI News 7/24/24

News

Mayo Clinic will implement an ambient nursing documentation system from Abridge that integrates with Epic’s nursing workflows. Mayo, which is participating in the technology’s development, hopes to have nurses using the tool by the end of the year.

OpenAI creates compliance and administrative tools for enterprise users of ChatGPT who work in heavily regulated industries such as healthcare, legal services, and finance. The API sends time-stamped user records to EDiscovery and Data Loss Prevention service providers to support archiving, audit trails, data redaction and retention, and policy enforcement. A key use case is HIPAA compliance related to detecting and deleting protected health information. The company will also roll out a system this week that syncs employee directories with ChatGPT to provision and de-provision user accounts.

Sound Health announces Sonu, a $299, FDA-authorized, AI-powered wearable that analyzes the user’s sinuses and delivers acoustic waves that stimulate nasal vasoconstriction to treat rhinitis congestion.

Business

Drug design technology vendor Insilico Medicine announces DORA, an AI-powered system for researchers that summarizes relevant published literature and then uses the researcher’s hypothesis to create a draft article with citations.

Drug maker Takeda will use AI models from Nference to identify patients who could benefit from advanced interventions for inflammatory bowel disease.

Microsoft will collaborate with Mass General Brigham and UW Health to develop Azure-powered medical imaging models that will extend Nuance’s imaging copilot applications.

B. Well Connected Health adds configurable AI architecture to its FHIR-based platform to support network access, health data summaries and queries, and a consumer cost-saving recommendations engine.

Meta announces the open source Llama 3.1, which it says is being used for drug discovery, personalized medicine, clinical trials administration, and creating voice and vision ambient medical documentation.

Research

Researchers raise concerns about using AI in medical publishing:

• Real-world validity and clinical relevance needs to be improved and measured.
• The “publish or perish” model may tempt researchers into writing low-quality and misleading articles that are already common in some environments, countries, and settings.
• AI-created programming might increase errors when used by less-expert people.
• AI can generate plausible but incorrect medical articles.
• Future scientists may be hampered by homogenized articles, an increased number of published papers, and validity issues.

Other

HHS creates new positions for CTO, chief artificial intelligence officer, and chief data officer.

Hospitalist and AI-powered oxygen therapy platform company CEO Julio La Torre, MD, MBA says that output from always-on vital signs monitors is an untapped resource. He says that monitoring could make rounding and intermittent data capture obsolete and provide value to researchers. He notes challenges – data collection and standards, the need for robust security, developing the hospital infrastructure to integrate monitor data with existing systems, and developing a sustainable business model.

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Healthcare AI News 7/17/24

News

Huma Therapeutics Limited announces Huma Cloud Platform, a no-code system for configuring regulated disease management tools that includes pre-built modules, device connectivity, cloud hosting, APIs, and a marketplace. The company built the system for its own products and will offer it as a software development kit. The London-based company, which has raised $250 million in funding, was founded by Dan Vahdat, who left his Johns Hopkins bioengineering PhD program in 2011 to start the company.

The VA will issue sole source bids to Abridge and Nuance to conduct ambient scribe pilot projects to transcribe clinical encounters and generate chart notes. The companies recently won a VA tech sprint for those functions. The VA will solicit feedback from other companies that believe they can meet its requirements.

The University of Alabama at Birmingham will launch a master’s in AI degree program next year that will teach students how to ethically integrate AI into healthcare software. It seeks applicants with a background in medicine, statistics, computer science, math, or biomedical engineering, also expressing a preference for healthcare professionals who have a programming background. Proficiency in the Python programming language is also required.

BBC reports that hospitals in England will use AI to improve patient flow, prepare radiology reports, and support rapid ED assessment. Patient records will be reviewed each morning to make sure that treatment is on track and that planned discharge dates are appropriate.

Family medicine physicians at University of Kansas Medical Center find that ChatGPT version 3.5 can produce summaries of peer-reviewed journal articles that are 70% shorter than the abstracts as posted, but with high quality, accuracy, and lack of bias. They documented ChatGPT hallucinations in four of 140 summaries. The tool fell short in being able to determine if a given article is relevant to primary care.

Business

Israel-based AI-powered disease modeling company CytoReason raises $80 million in a private funding round, with investors that include Nvidia and drug maker Pfizer. The company will open an office in Cambridge, MA later this year.

A law journal article says that the US patient system is not prepared to protect the AI-based technology innovation of companies. Companies struggle to disclose enough information about how their AI system works to earn an enforceable patent, especially if they cannot disclose the training data that was used. The authors also note that medical imaging analysis models are often built via trial and error, making those methods just as important as the training data.  

Research

Healthcare experts who were convened by Stanford University’s Institute for Human-Centered AI say that HIPAA as well as the FDA’s regulatory authority are too outdated to apply to rapid AI development. Specific recommendations:

• Streamline FDA market approval for AI-enhanced diagnostic capability, moving the emphasis to post-market surveillance; sharing test and performance data with providers to help them assess product safety; and creating finer-grained risk categories for medical devices.
• Participants were divided on the issue of requiring clinical AI tools to place a human in the loop, with some warning that such a requirement would create more busywork for doctors and make them feel less clinically empowered. Some said the model should be similar to that of laboratory testing, where devices are overseen by physicians, undergo regular quality checks, and send out-of-range values to humans for review. Participants were also mixed on requiring that patients be informed when AI is used in any stage of their treatment, although many felt that AI-created emails that are sent under a provider’s name should indicate that AI played a role.
• About half of participants said that chatbot-type AI tools should be regulated using medical professional licensure as a model, while a nearly equal number favored a medical device-like approach.

Pharmacy residents in the Netherlands test ChatGPT’s ability to respond to the clinical pharmacy questions of practitioners and patients. They conclude that it should not be used by hospital pharmacists due to poor reproducibility and a significant portion of answers that were incomplete or partly or completely wrong.

Other

A Phillips survey of 3,000 healthcare leaders in 14 countries includes questions about automation and AI. Snips:

• Nine out of 10 leaders see the potential of automation to support staff, reduce administrative tasks, and allow staff to work at their highest skill level, but two-thirds of them believe that healthcare professionals are skeptical and worry about inadequate AI and losing their skills due to overreliance on technology.
• Nearly all participants say that their organizations experience data integration challenges that hamper their ability to provide timely, high-quality care. They most often cited the time required to look up results, inefficiency, limited coordination among providers and departments, repeat tests, and risk of errors.
• More than half say that their organizations will invest in AI in the next three years, while 29% say they have already done so.
• Nine out of 10 leaders expressed concern about AI data bias.

People management software vendor Lattice cancels its week-old plans to create employee records for AI bots. The CEO had said that digital workers would, like their human counterparts, be assigned onboarding tasks, goals, performance metrics, IT system access, and a manager.

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Healthcare AI News 7/10/24

News

OpenAI co-founder and CEO Sam Altman and Thrive Global founder and CEO Arianna Huffington announce that their companies will co-develop an AI-powered, hyper-personalized app for behavior change, which they say can be a “miracle drug” for preventing disease and optimizing health. Thrive AI Health will learn preferences and patterns related to sleep, food, movement, stress, and social connection and will be trained on the user’s biometric, lab, and other medical data. Some of the new company’s concepts are already being used by Thrive Global, which sells its product to employers.

Health wearables vendor Oura releases the AI-powered Oura Advisor, which it calls a personal wellness coach, for testing with its devices. Users can choose the chatbot’s communication style, notification preferences, and the training goals that it emphasizes.

A radiation oncologist creates prior authorization requests by telling ChatGPT the type of letter that he needs and the types of clinical studies that he could cite to support his request. He then tells ChatGPT to make the resulting letter four times longer because “if you’re going to put all kinds of barriers up for my patients, them when I fire back, I’m going to make it very time consuming.” A rehab medicine physician uses Doximity GPT, a HIPAA-compliant version of the chatbot, to analyze EHR data and coverage details to create a detailed request, which is says has boosted his coverage approval rate from 10% to 90%. The article notes that some Epic users are testing its new AI-powered PA functionality.

Business

South Korea-based AIRS Medical, whose FDA-cleared SwiftMR speeds up MRI scanning time by up to 50%, raises $20 million in a Series C funding round.

Amazon Web Services uses a large language model to design marketing content for disease awareness that it says balances accuracy and audience engagement. The company says that the AI assistant reduces creation time from weeks to hours and gives subject matter experts more control with its ability to create automatic revisions based on user instructions and comments. It also highlights any problems with required rules or regulations.

Research

Researchers survey oncologists about their possible use of AI, with these conclusions:

• They will use AI to make clinical decisions only if they as frontline practitioners can understand its logic.
• Most oncologists think that they should protect patients from biased AI tools, but few of them believe that they can recognize that bias.
• More than 90% of oncologists believe that AI developers should be held accountable if their products are involved in medical or legal problems, about double the number who believe that doctors and hospitals should share accountability.
• A medical oncologist predicts that AI tools will be used in three areas: making treatment decisions using a broader set of data, improving tumor characterization from images, and matching patients with clinical trials.

Boston researchers apply an AI model to demographic data, health history, exam results, neurological tests, and MRI scans to identify 10 distinct causes of dementia to support differential diagnosis.

Scientists at Dana-Farber Cancer Center and Weill Cornell Medicine develop digital pathology AI tools that can answer pathologist questions and compile results. They trained a private, secure Dana-Farber version of ChatGPT on 10,000 pages of recent digital pathology developments, which allows researchers to create detailed, summarized results quickly. They also developed a tool to allow pathologists who don’t program in the Python programming language to use the PathML computational pathology analysis tool.

Other

A philanthropy magazine profiles the $20 million donation to Mayo Clinic for AI work by Dwight Diercks, an engineering SVP and employee #22 at Nvidia, who grew up on a family farm in rural Minnesota. The focus of his donation is early cancer diagnosis.

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Healthcare AI News 7/3/24

News

The American College of Radiology launches an AI quality assurance program for radiology facilities that covers governance, algorithm documentation, security and compliance adherence, documenting use cases, and monitoring algorithm performance.

Mayo Clinic receives a $20 million gift to fund AI projects as well as Mayo Clinic Platform. The donors are Nvidia SVP of Software Engineering Dwight Diercks and his wife Dian.

Business

PicnicHealth, which gives patients and life sciences companies access to medical records, announces an LLM that collects a patient’s medical records from all providers. The company says it product connects to 100% of US care sites, enabling patients to collect all their records and for life sciences companies to conduct observational studies. CEO Noga Leviner had no healthcare background when she co-founded the company in 2014.

Research

An MIT study finds that medical imaging AI models often use demographic shortcuts that cause them to issue biased predictions. The authors say that models may work when first trained (locally optimal), but may not maintain fairness in new environments (globally optimal). They caution that models can predict demographic information from images – such as race, sex, and age – and then use that and other data to make correlations that have no clinical basis.

Other

Anesthesiologist, informaticist, and AMA immediate past president Jesse Ehrenfeld, MD, MPH says that the AI in healthcare hype curve is peaking, but he notes that a recent survey of doctors found that 38% are using AI in their practices, almost all of it for back-end office tasks. He says that it was a mistake to design, develop, and deploy EHRs without enough physician involvement, and that same error could be repeated with AI development. He explains, “I see this with entrepreneurial companies, where there’s a physician who might be involved, but it’s an afterthought. They’re not really driving the development of the solution. That’s a problem.”

Rep. David Schweikert (R-AZ) introduces legislation that would require Medicare to pay for AI-powered remote devices. He previous introduced bills that would allow AI to prescribe as a practitioner and to amend the Social Security act to pay for telehealth consultations such as AI-monitored wearables. 

I read about this Google search error and replicated it: searching for “114/74 blood pressure” brings up an AI Overview that says that this is an elevated reading. I repeated the test on Google Gemini as well as ChatGPT and both correctly indicated that the BP is normal. Interestingly, the AI Overview was correct when searching for 113/73 and 115/74, incorrect for 114/71, but when I searched for 114/75, it correctly said that’s normal but added “along with a pulse of 89 beats per minute” for some reason.

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Healthcare AI News 6/26/24

News

The Coalition for Health AI publishes a draft framework for the responsible use of AI in healthcare and solicits public comment. CHAI also posted a draft document of Assurance Reporting Checklists for self-reporting and self-review for assuring that AI solutions meet criteria in five areas: (1) usefulness, usability, and efficacy; (2) fairness, equity, and bias management; (3) safety; (4) transparency and intelligibility; and (5) privacy and security.

In Japan, SoftBank Group founder Masayoshi Son will make a rare public appearance in a Thursday panel discussion on bringing AI to healthcare in his country. The investment group took a significant position in Tempus AI just before its recent IPO and has signed an agreement to set up similar services in Japan.

Business

Wolters Kluwer Health will add AI-powered adaptive learning to its nursing education products.

Oracle announces GA of Clinical Digital Assistant ambient documentation and voice command system for ambulatory clinics that use its EHR.

Solventum, formerly 3M Health Care, announces an AI-driven payment denials prediction solution.

Real-world data vendor Atropos Health expands its Evidence Network to 300 million patients with the addition of two new partners. The company’s products can generate publication-grade, AI-powered observational studies from clinical questions with a two-day turnaround.

Shares in AI-enabled precision medicine vendor Tempus AI have lost one-third of their value since the company’s June 14 IPO. The company’s $8 billion pre-IPO valuation in 2022 is at $4.5 billion. Shares rose Wednesday on news that FDA has cleared sale of its atrial fibrillation detection algorithm for 12-lead ECGs.

Research

NIH awards Cleveland Clinic and other organizations a $2.8 million grant to study the use of AI to analyze MRIs to determine how rectal tumors are responding to therapy. Researchers hope to develop radiomic signatures using radiology and pathology images to identify dying tumors that have responded to therapy, which would allow those patients to avoid unnecessary further surgeries and complications.

Other

Stanford Medicine develops Nuclei.io, which helps pathologists diagnose endometritis and metastatic colon cancer with higher speed and accuracy than pathologists alone. The AI system observes individual pathologist behavior – such as image clicking and enlarging —  to learn what they are looking for and which cells are important.

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Healthcare AI News 6/19/24

News

Republican lawmakers criticize the FDA’s partnership with the Coalition for Health AI for testing healthcare AI products, raising concerns that CHAI’s members include Microsoft and Google as well as large health systems that are incubating their own AI-related businesses.

The state of California seeks bids for an AI system to translate health and social services documents and websites as a first draft for human review.

The American Society of Nuclear Cardiology joins the AMA’s effort to prohibit the use of AI by insurance companies to deny coverage based on medical necessity. AMA’s policy would require prior authorization requests to be reviewed by a physician who is trained in the same specialty as the requestor.

Business

Cancer genetic testing vendor Color Health is working with OpenAI to use GPT-4o to identify recommended tests and to create detailed workup plans for human review. The company expects to generate personalized care plans for 200,000 patients through the second half of 2024. 

Cognizant launches its first set of healthcare solutions that use Google Cloud’s AI technology, including workflows for appeals resolution, contract management, marketing content, and health plan shopping.

Patient-centered communications technology vendor CipherHealth announces AI summarization capability for its rounding toolkit.

Sweden-based startup Tandem Health raises a $9.5 million seed funding round with investors that included OpenAI and Deepmind. The company, which was founded less than a year ago and has 50 providers using its system in Sweden, provides a clinician copilot that can transcribe visits and create medical notes. It is looking for partners to help it expand in Europe.

Research

San Diego State University researchers develop an AI robot called Pepper that can detect emotions from live video analysis, allowing it to detect mental health issues and to provide insights to clinicians. The device, which was funded with a $5 million grant, is being reviewed by local hospitals.

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Healthcare AI News 6/12/24

News

Apple announces its long-awaited Apple Intelligence capability, which will be released in beta in IOS18 in September. It will work only on newer Apple hardware such as the IPhone 15 and IPads/Macs that are outfitted with the M1 chip. Its Siri voice assistant will use on-device AI to answer most questions, Apple-hosted LLMs for more complex questions, and OpenAI – with the user’s permission – to respond to more detailed questions. Planned features include a conversational Siri, word-based photo search, automatic photo editing, the ability to proofread and summarize documents, and the ability to summarize call audio.

The American College of Radiology asks members to weigh in on the request that was made to CMS by AI diagnostic software vendor Cleerly, which wants CMS to pay for its FDA-cleared CAD detection. The company says that using its $1,500 CT AI test reduced costs by avoiding invasive coronary angiography. Cleerly says that AI-enabled CCTA is better at diagnosing CAD than the traditional stress test.

Tampa General Hospital rolls out Nuance DAX Copilot to 500 of its affiliated physicians for ambient documentation.

UMass Memorial Medical Center uses Mednition’s Kate AI product for triaging ED patients.

University Hospitals deploys Aidoc’s AI platform across 13 hospitals and several outpatient locations. The company offers 17 FDA-cleared algorithms for triage, quantification, and care coordination.

Business

CCS launches PropheSee, an AI-powered predictive model that improves continuous glucose monitoring device adherence rates by up to 50%, saving an estimated $2,200 per patient per year.

Research

Researchers develop a publicly released trustworthiness benchmark for medical large vision language model that assesses trustworthiness, fairness, safety, privacy, and robustness.

Harvard-based pediatric physicians find that Google Translate and ChatGPT 4.0 perform expert-level translation of patient instructions to Spanish and Portuguese, but fall short of professional translations for Haitian Creole.

ChatGPT can generate expert-quality radiologic reports that are easier for patients to understand. The study authors note that it would be nearly impossible to expect radiologists to create patient-centered radiology reports at the required middle school reading level.

Researchers in China find that AI can accurately detect coronary artery disease using non-invasive facial temperature images. 

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Healthcare AI News 6/5/24

News

Researchers at George Mason University’s public health school create MeAgainMeds.com, a free AI-powered website that uses self-reported patient history and data that was extracted from 3.6 million patient records to help patients and clinicians choose the antidepressant that is most likely to be effective for them.

Kimberly Powell, healthcare VP/GM at Nvidia, says that she expects healthcare to be more affected by AI than any other industry, particularly in the area of drug discovery.

Business

Evolent acquires the software and development team of Machinify’s prior authorization and utilization management products. Machinify will continue its work with payer applications.

Innovaccer launches an AI-powered healthcare contact center that combines all available data to personalize the call center interaction of consumers.

Tampa General Hospital chooses Palantir Technologies to create an AI-powered care coordination system.

Spain-based AI medical triage chatbot vendor Mediktor acquires Sensely, which offers patients chat-based help with insurance.

Research

Researchers find that applying retrieval-augmented generation – where an AI system searches a specified database to craft its answers – improved the accuracy of ChatGPT-4 in answering cancer-related questions from 57% to 84%. However, it performed poorly when faced with conflicting advice statements from clinical trials, expert opinions, or committee recommendations.

Other

Children’s National Hospital hires Alda Mizaku, MS (Mercy) to the newly created role of VP/chief data and AI officer.

Montefiore Einstein Comprehensive Cancer Center doubles the colonoscopy completion rate among patients who cancelled or no-showed their colonoscopy appointments by using the AI tool MyEleanor from MyndYou to conduct voice call outreach. More than half of patients that the system called stayed on the line and half agreed to be transferred to a human navigator to reschedule.

Johns Hopkins palliative care doctor and cartoonist Nathan Gray, MD creates a fascinating “op-comic” for the LA Times that describes his experience with his hospital’s ambient documentation pilot project. He says that he had to learn to suppress the urge to type and had to remember to speak his findings out loud, but enjoyed “not having a screen stand as a dividing wall between doctor and patient.” He found that the program generated an accurate, coherent summary of the conversation even when it didn’t follow an obvious structure. His biggest complaint is that as a palliative care doctor, the AI ignored the hopes, dreams, and fears of the patient in seemingly mistaking that part of the conversation as chitchat.

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Healthcare AI News 5/29/24

News

Microsoft announces new features for Copilot that include expanded Teams capabilities, the ability to create custom copilots that act as agents, and extensions and connectors for developers.

OpenAI says in an unrelated blog post that it bas begun training the success to ChatGPT 4o, which it says will “bring us to the next level of capabilities on our path to AGI.”

XAI, which was founded in July 2023 by Elon Musk, will raise $6 billion in funding to bring its first products to market. The company’s first release was its Grok AI system.

Mayo Clinic will hold an AI summit on July 8-9 at its Rochester, MN campus and virtually, with a registration fee of $350 for either option.

Business

Google profiles 24 healthcare-related startups from Europe, the Middle East, and Africa that are part of the 2024 cohort of its health startup support program.

Videra Health, which offers an AI-driven mental health assessment platform, raises $5.6 million in seed funding. Its product uses patient self-assessments and AI analysis of video patient responses.

Atropos Health raises $33 million in a Series B funding round, which the company will use to expand the stake of its evidence-generating applications in value-based care.

Other

China’s Wuhan Union Hospital launches an AI pilot project in collaboration with Baidu Health that includes AI-powered patient triaging, appointment scheduling, and wait time management.

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Healthcare AI News 5/22/24

News

Epic is using Microsoft Azure’s Phi-3 small language model to summarize patient histories faster and cheaper than other generative AI models. Small language models can be run offline when extensive reasoning isn’t required and fast responses are needed. Phi-3 can also analyze images.

A VA official says that AI and predictive analytics have been a “game changer” in identifying and supporting veterans who are at risk for suicide. The REACH VET system, which was launched in 2018 and is active at 28 sites, identifies 6,700 veterans each month who need additional support.

Microsoft introduces Copilot+, which are AI-optimized Windows 11 PCs that feature high performance and a Recall function that takes regularly scheduled, locally stored screenshots that can be searched across applications, websites, and documents.

Y Combinator-backed Bland AI releases an AI phone agent that can carry on human-like conversations with callers. Website visitors can enter their name and phone number to initiate a sample call with AI agent Blandy. The platform can also perform live call transfers and add live data into phone calls. Suggested users are inbound sales, customer support, and B2B data collection.

Business

Remote patient monitoring solution vendor Implicity earns FDA’s 510(k) clearance for its AI-powered risk assessment for heart failure. The vendor-agnostic SignalHF analyzes data from implanted devices such as defibrillators, pacemakers, and cardiac resynchronization therapy devices. The company notes that 75% of the alerts that are triggered for patients who eventually require hospitalization are issued at least 14 days in advance, allowing time to adjust medications or take other measures.

Precision medicine system vendor Tempus AI files for an IPO at an estimated deal size of $600 million. The company reported $562 million in revenue for the 12 months ending March 31, 2024.

Research

Researchers review the technical ways that healthcare AI could be improved to provide more generalizable information about patient subsets, especially for underrepresented groups. They provide breast cancer as an example, where AI models underrepresent male patients and therefore should be selectively deployed where they are known to perform well, but call out the ethical challenges in adapting models based on sociocultural factors. They conclude that AI models should be trained on datasets that exclude samples that don’t meet carefully considered exclusion criteria.

Other

Two students of The University of Texas Health Science Center at San Antonio will graduate this month with dual degrees, the MD as well as an MS in artificial intelligence, a program that was launched last year as the first of its kind. Click the graphic for an enlarged view of the program’s timeline.

Robert Pearl, MD, Stanford University School of Medicine professor and former CEO of The Permanente Medical Group, offers some pearls (no pun intended) from his new book, “ChatGPT, MD”:

• AI can help clinicians override confirmation bias, where they might favor data elements that fit their mindset and ignore others.
• The short-term use of AI will be to manage chronic conditions, such as to analyze data from wearables, and to guide patients with personalized health recommendations.
• AI’s ability to analyze EHR data will transform medicine by helping clinicians understand the optimal ways to manage diseases and perform procedures.
• The biggest challenges to reap AI benefits are (a) clinicians have to be willing to empower patients; and (b) the fee-for-service payment model must shift to value-based care because doctors won’t do something that reduces their income and they aren’t paid to keep people healthy.
• Pearl lists ChatGPT as a co-author of his book, which he says shortened its completion time from two years to six months. He fed all of his writing into ChatGPT so it could understand his voice and writing style, then had it suggest changes to his draft versions.

Educator Henry Buchwald, MD, PhD says that AI can help overcome “natural stupidity,” comparing it to his time in the Air Force where he flew his plane upside down because he trusted his instinct instead of the instrument panel. He offers this:

In contrast to AI, let us examine natural stupidity. Unfortunately, there is an abundance of that in our world, perhaps a preponderance. In medicine, we hope that every physician is intelligent, or at least competent. But that may not be the case. When I was still in active academic practice, conducting patient rounds, I asked a medical student for his thoughts on a patient’s differential diagnosis and how he would proceed to narrow the potential options. He whipped out his iPhone to consult an algorithm. I told him to put the instrument away and to speak from the knowledge base of his nearly four years of medical training to make his own analysis of variables. He proved that he had little knowledge of established facts and, even when prompted, could not produce a reasonable thought sequence.

After graduation, this student became someone’s doctor, treating afflictions, counseling fellow human beings. Fortunately, after a patient consultation, this doctor will be able to postpone diagnosis and therapy by waiting for laboratory and imaging results, allowing him time to go to his iPhone, consult the algorithms and then come to a conclusion for the patient. In essence, AI may be the patient’s ghost doctor. In some instances, medical AI might prevent the physician from crashing into an unappreciated mountain.

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