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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