Healthcare AI News 7/19/23

News

Meta and Microsoft release Llama 2, a fully open competitor to ChatGPT 3.5 that is free for research and commercial use. Unlike ChatGPT, users can add their own data to Llama 2.

Elon Musk forms XAI, an AI company that he says will seek to “understand reality” and will work with Twitter, Tesla, and other Musk-owned companies.

Teladoc Health will use Microsoft’s AI services and its Nuance DAX ambient documentation product into its virtual care platform, expecting to automate the creation of clinical documentation during virtual exams. The company’s medical group will use Nuance DAX Express for the visits it provides directly.

Engineering consortium MLCommons develops MedPerf, an open benchmarking platform that evaluates the performance of AI models on real-world medical data while preserving patient privacy.

Business

Causaly, which created an AI platform for drug development, raises $60 million in a Series B funding round.

Nividia invests $50 million in AI drug discovery vendor Recursion Pharmaceuticals, which will train AI models on Nvidia’s cloud platform. RXRX shares jumped 80% on the news, valuing the 10-year-old company at $2.6 billion.

Research

A Google paper proposes supporting medical imaging predictive AI in a “know when they don’t know” manner, where the extra AI layer can decide via a confidence score whether it should defer to a clinician. The use of such a system reduced false positives by 25% while still identifying all true positives.

A new study finds that ChatGPT’s healthcare-related output is hard to distinguish from that created by healthcare providers, but patient trust decreased as task complexity increased, suggesting that the best use of healthcare chatbots is to assist with patient-provider communication related to administrative tasks and routine management of chronic conditions.

Researchers find that Google’s PaLM large language model generated long-form answers to common medical questions that aligned with scientific consensus just 62% of the time, but system tuning improved performance to equal that of human clinicians, with 93% of its answers found to be scientifically correct. The system generated potentially harmful answers 5.8% of the time, slightly outperforming clinicians.

A Science perspective piece predicts that pairing AI applications with medical robotics will create a new era of medicine in which autonomous robots could perform diagnostic imaging and surgical procedures as well as create and optimize the use of prosthetics.

Researchers are developing an AI too that can quickly recognize the genetic features of gliomas, the most common form of brain cancer, providing a molecular diagnosis in 15 minutes versus the manual process that takes weeks. Surgeons could use the results to make immediate operating decisions in the OR.

Other

UMC Health System deploys ZeroEyes, an AI-based platform that identifies guns from live security camera video streams. The company’s monitoring center can verify threats, issue alerts, and dispatch first responders within 3-5 seconds of detection.

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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