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Picture yourself interacting with an AI model that can tell you when you might develop any of 1,000 disease conditions over the coming 10+ years. OK, now see yourself finding out such a model is already here.

Emergency medical services are there when you need them. Yet they barely come up in healthcare strategy discussions. AI could help change that. 

Getting healthcare AI to fulfill its destiny—can we call it that now?—will require ‘scenario-based’ consideration of every use case.

Conventional wisdom has it that older adults willingly lag behind younger subpopulations when it comes to reaping the benefits of emerging healthcare technologies, including AI. 

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CEO Dana Smetherman, MD, MPH, MBA, explains American College of Radiology efforts to help members understand and enable easier integration of artificial intelligence.  

‘If it weren’t for the intransigence of the American Medical Association, we’d be well on our way to fleets of AI doctors diagnosing diseases and prescribing treatments.’

Cardiac surgeons see significant value in AI's ability to assist clinicians with administrative tasks and patient selection. When it comes to making clinical decisions, however, there is still a certain amount of skepticism.