Dear AuntMinnie Member,
Travel delays due to a snowstorm in Chicago may have led to a slow start at RSNA 2025, but by Monday, it felt like the RSNA again at McCormick Place.
As per usual, AI was everywhere. In keeping with previous years, developers have been expending significant effort to apply AI across the entire imaging chain. The goal is to deliver greater efficiency and quality -- without increasing the cognitive burden on already-taxed radiologists. Researchers and meeting attendees showed particular interest in the generation of automated preliminary reports.
Other hot topics included foundation models, agentic AI, theranostics, and remote MRI scanning. If you haven’t already, check out our dedicated video interviews from the meeting:
Also, see below for our list of top stories from last week, including reports with video clips. And be sure to check out our RSNA RADcast section for all of our coverage.
GLP-1 drugs reduce heart plaque progression in diabetes patients
Radiologists can identify suicidal tendencies among abused patients
AI’s performance in clinical settings may differ from literature
PET/CT identifies Pluvicto patients at risk of adverse events
Studies reveal trends in breast density, cancer in younger women
Multiparametric MRI finds more diabetic neuropathy than single parameter
Using AI with CT to assess epicardial fat predicts heart disease risk
Erik L. Ridley
Editor in Chief
AuntMinnie.com
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