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U.S. healthcare will know it’s gotten AI right when the technology demonstrably improves care access, attentiveness and outcomes for the least financially healthy among us.
Several U.S. medical societies have collaborated on a new report advocating for better safety standards in cardiac catheterization labs. As one cardiologist described it, clinicians have shifted from "accepting risk" to "expecting better."
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.