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.

Its use dropped the average time needed to examine a finding at all timepoints from 107 seconds to 65 seconds, with pulmonary nodule assessments benefiting from the greatest reductions.

An intense focus on RVU productivity may have unintended negative consequences, experts wrote in the Journal of Operations Management.

However, GPT-4 confidently delivered incorrect or irrelevant answers on some questions, according to new research in Radiology. 

One of the main goals of Med-PaLM 2 is to “synthesize information like X-rays and mammograms to one day improve patient outcomes.” 

Amit Trivedi, HIMSS director of informatics and health IT standards, explains the importance of the human role in interoperability.

“Healthcare is going to change. Writing is going to change. Research is going to change. I’m just trying to publish now and show it so people can know about it and explore more.” 

Many new imaging solutions were on display at the world's largest health informatics conference, held at McCormick Place in Chicago.