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While the adoption of artificial intelligence in health care has been slow and bumpy at times, three academic AI experts, from Emory, Stanford, and the University of Michigan, spoke optimistically about its future applications in medicine, during a virtual panel discussion Wednesday with STAT’s National Technology Correspondent Casey Ross.

They discussed how to integrate AI into clinical workflows with shifting patient populations, and strategies to ensure the technology’s performance doesn’t degrade over time, with Amit Kaushal, a clinical associate professor of medicine at Stanford, drawing parallels to how employee performance is maintained.


Though it isn’t always possible to regulate the intent of businesses building AI models, they agreed it was possible to regulate that the technology was working for patients. The panelists presented a clear path for integrating the technology as it transforms from proof of concept to being used to solve real-world issues — whether to improve patient care or efficiency in a hospital.

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