Generative AI is altering the way healthcare consumers size up hospitals, group practices and individual providers. But the comparison shopping would pose a challenge to healthcare organizations even if AI hadn’t entered the picture. 

Add this to the list of high-risk healthcare activities to which generative AI can contribute: prescribing antibiotics. 

Two in five practicing physicians are equal parts enthused over and worried about AI in healthcare. That’s the same ratio the American Medical Association turned up the last time it conducted its Physician Sentiment Survey.

An international cluster of 117 researchers from 50 countries has arrived at a consensus on six principles that, in the team’s considered view, ought to guide the use of AI across healthcare worldwide. 

Last summer more than 40% of 121 hospital executives surveyed said their organization had already realized a decent ROI in generative AI. However, a C-suite slice of nearly the same size said it was too soon to know for sure. 

Medical students are broadly familiar with digital health technologies. Relatedly, they believe AI will play a crucial role in the future of healthcare. These are good signs for the advancement of evidence-based medicine. 

Wasn’t radiology the fastest medical specialty to embrace and adopt AI? And yet burnout continues to afflict many if not most radiologists. 

Generative AI has a bright future in medical education. That goes not only for medical schools but also for postgraduate settings in which residents and fellows do most of their learning while also caring for patients.