More than two-thirds of U.S. physicians have changed their minds about generative AI over the past year. In doing so, the re-thinkers have raised their level of trust in the technology to help improve healthcare.

Key collaborators across the healthcare AI life cycle now have a common set of principles to which they can hold each other. And that means everyone from developers and researchers to providers, regulators and even patients.

Bumping up hard against the reality of depleted data sources, three of AI’s top players have been acting like they’ve had no choice but to consider cutting corners.

Providers and payers disagree on a lot of things. But the camps are united in their appreciation of workers who have skills relevant to advancing GenAI in healthcare. 

The nation’s K-12 teachers and school administrators are intrigued by—yet anxious about—the advance of AI into their world.

AI adoption for real-world healthcare settings can’t happen in a vacuum. 

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.