AI Boosts Brain Aneurysm Detection but Produces More False Positives

Updated

An artificial intelligence tool detected brain aneurysms that radiologists missed in routine clinical practice, increasing the number of identified cases by 39%, but it also produced substantially more false-positive findings than radiologists.

The findings, published in the Journal of the American College of Radiology, suggest that AI could serve as a second set of eyes for radiologists, while highlighting limitations that could affect its value in different clinical settings.

The AI's greater sensitivity came with an important tradeoff.

It detected 84.6% of true aneurysms compared with 71.8% for radiologists, but its positive predictive value was considerably lower—78.2% versus 92.7%.

AI performance also varied by clinical setting.

Overall, the findings suggest that AI may help radiologists catch additional aneurysms, but its added sensitivity comes at the cost of false-positive findings requiring physician review.

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