Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

After go-live health systems must monitor AI tools for clinical outcomes, model drift, bias, and patient safety to ensure sustained impact.

Flipping a switch is easy. What happens after is where AI deployments can come apart. Mark Mabus, MD, chief medical informatics officer at Parkview Health — a nonprofit system spanning Northeast ...

Although AGI remains hypothetical, the pace of AI development is forcing healthcare leaders to confront it sooner than expected.

In The Lancet Digital Health, a systematic review and meta-analysis by Alabed Samer and colleagues1 provides a clear picture about the current state of clinical artificial intelligence (AI) in ...