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 ...
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.
Amazon Web Services is corralling the expertise of more than 30 research institutions, businesses and startups to help combat COVID-19. The cloud giant has allotted $20 million for the work.
The idea is to initially place the device in medical waiting areas, from where it would help prepare staff for caseload ebbs and flows. Later it might be set in larger public spaces, helping to monitor epidemiological trends at the population level.
Mayo Clinic researchers have found that primary care providers welcome the concept of AI-based clinical decision support (CDS) while preferring not to use the technology—at least as configured for their tryout adoption—in day-to-day practice.
Tampa General Hospital in Florida has admitted three patients with COVID-19. Halfway around the world, Sheba Medical Center in Israel has seen 40. Both expect exponential increases—and both are using new AI applications to respond.
A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.