Revolution or risk?—Assessing the potential and challenges of GPT-4V in radiologic image interpretation

• by Marc Sebastian Huppertz, Robert Siepmann, David Topp, Omid Nikoubashman, Can Yüksel, Christiane Katharina Kuhl, Daniel Truhn, Sven Nebelung

• October 18, 2024

Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers

• by Wenhao Zhang, Jacek Kwiecinski, Aakash Shanbhag, Robert J. H. Miller, Shiva Mostafavi, Giselle Ramirez, Jirong Yi, Donghee Han, Damini Dey, Dominika Grodecka, Kajetan Grodecki, Mark Lemley, Paul Kavanagh, Joanna X. Liang, Jianhang Zhou, Valerie Builoff, Jon Hainer, Sylvain Carre, Leanne Barrett, Andrew J. Einstein, Stacey Knight, Steve Mason, Viet T. Le, Wanda Acampa, Samuel Wopperer, Panithaya Chareonthaitawee, Daniel S. Berman, Marcelo F. Di Carli, Piotr J. Slomka

• January 14, 2026

LV Function Mostly Preserved After ASO

CMR findings were largely reassuring in most patients, although late gadolinium enhancement was identified in a minority.

• by Andrea Surnit

• May 13, 2026

• 4 min

AI Scribes Lag Clinicians on Note Quality

A VHA study across 11 vendors finds AI-generated primary care notes score lower than clinician-written notes, with the largest deficits in thoroughness, organization, and usefulness

• by Kerri Miller

• April 17, 2026

• 6 min