Researchers used multiple AI models to evaluate EHR data from more than 322,000 heart failure patients. By identifying these subtypes, the group thinks clinicians could perform better risk assessments and make more informed treatment decisions. 

Kenneth Ellenbogen, MD, detailed some of the biggest trends he saw at the three-day event in New Orleans. 

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

Buzzworthy developments of the past few days.

The Biden Administration has refreshed its efforts to encourage AI innovation while mitigating AI risks.

There are now numerous AI algorithms for electrophysiology. Jagmeet Singh, MD, examined how this advanced technology is being applied.

Willingness to change among radiologists and staff members (rather than leadership) has the biggest impact on lung cancer screening success, public health researchers reported Monday. 

The new policy statement warns that any inaccurate or misleading claims to consumers about how their data is collected and used will be considered a violation of the FTC Act.