Many if not most of today’s software developers use AI coding tools every day. Yet nearly 40% have little to no trust in AI-generated code. 

There’s no shortage of resources for healthcare workers who wish they knew AI well enough to talk shop with the technology pros who develop the models. The problem is weeding through the offerings to get to what will really work for you. 

The CEO of the country’s largest for-profit, publicly traded health system is bullish on healthcare AI. 

Discussions of AI governance may cause many an eye to glass over, but the discipline is as crucial to the ascent of AI in healthcare as big training datasets drawn from diverse patient populations.

Payers are still running ahead of providers in the AI arms race. 

For whatever reason, the grownups seem to get all the attention when talk turns to AI in healthcare. All the kiddos get to do is look on and listen in. Now comes a worthy little effort to balance the seesaw.

Ransomware attacks even hurt hospitals that aren’t hit. 

It’s going to take a multinational effort for the global AI community—such as it is—to avoid the emergence of a “fragmented AI landscape.”