September 15, 2026 · Journal of the American College of Radiology : JACR · DOI: 10.1016/j.jacr.2026.07.018

Prospective Shadow-Mode Evaluation of an Artificial Intelligence Tool for Intracranial Aneurysm Detection on CT Angiography: Incremental Yield and Operational Impact

Listen to this summary

The authors aimed to evaluate the operational performance of an FDA-cleared artificial intelligence (AI) algorithm for detecting intracranial aneurysms in brain CT angiography (CTA) and to assess the added value of combining AI with radiologist assessments. The study found that the AI demonstrated higher sensitivity than radiologists alone, identified additional aneurysms, and showed favorable operational metrics, particularly in inpatient settings, suggesting its potential for effective integration into clinical practice.

Shlomit Goldberg-Stein, Maria X Sanmartin, Rachel Saks, Jerrin Varghese, Yasser Mir, Amir Gandomi, Jonathan Scheiner, Ritesh D Patel, David Hirschorn, Elizabeth Y Rula, Jason J Naidich, Matthew A Barish, Pina C Sanelli

This is one of 33,000+ journals available on OSLR. Try it free for 14 days.

Free 14-day trial. 33,000+ journals. Cancel anytime.

14-day free trial. No commitment.

“

"Oslr has become part of my weekly routine on my day off. The clinical relevance of the summaries is outstanding — I'd rate it 9/10. Being able to consume research hands-free is a huge advantage for busy physicians."

Dr. Jennifer Thompson

Dr. Jennifer Thompson

Portland, OR

Stay current without falling behind

33,000+ journals. 3-minute audio summaries. Free for 14 days.

Download on the App StoreGet it on Google Play