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AI is now as much a part of U.S. healthcare as any other technology category in wide use across the sector. However, like no other technology, its role is “being actively shaped, not passively adopted” by clinicians and patients alike.
A recent OIG report suggested vascular surgeons, interventional cardiologists and interventional radiologists may be performing medically unnecessary procedures in office-based labs. Now, some of the leading medical societies from those fields have provided additional context.
Asking medical questions of AI with language spoken “in the wild”—meaning with LLM prompts from everyday consumers—brings back answers with decidedly mediocre accuracy, a new study shows.
ChatGPT is only so-so at letting physicians know if any given clinical study is relevant to their patient rosters and, as such, deserving of a full, time-consuming read. On the other hand ...
Healthcare CFOs spend more time dealing with cost management and, by extension, operational issues than any other single set of items on their to-do lists.
“Applause broke out in the OR. It was quite an amazing experience,” recalls Winfred Williams, MD, associate professor of medicine at MGH and Slayman’s nephrologist, referring to the moment the kidney “immediately pinked up” during implantation.
Imperfect algorithms. Resistant clinicians. Wary patients. Divisive disparities. The plot ingredients of a flashy techno-thriller coming to a cineplex near you? No—just a few of the many worries that provider organizations take on when they move to adopt AI at scale.