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.

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

A new paper details how a team at the University of California utilized a hybrid system consisting of a quality coordinator and NLP software to bring in more than $60,000 in additional revenue from follow-up imaging alone.

These findings highlight a need for more stringent and standardized reporting guidelines relative to incidental findings, authors of the new study suggested.

“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.

Experts involved in the app’s creation suggested that because it was designed to mimic real life, its use among emerging radiologists could potentially help address the issue of subjectivity and reader variability in interpreting mpMRI scans of the prostate.