Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
JAMA Network Open2019Vol. 2(6), pp. e195600–e195600
Citations Over TimeTop 1% of 2019 papers
Allison Park, Chris Chute, Pranav Rajpurkar, Joe Lou, Robyn L. Ball, Katie Shpanskaya, Rashad Jabarkheel, Lily H. Kim, Emily McKenna, Joe Tseng, Jason Ni, Fidaa Wishah, Fred Wittber, David S. Hong, Thomas J. Wilson, Safwan S. Halabi, Sanjay Basu, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng, Kristen W. Yeom
Abstract
The deep learning model developed successfully detected clinically significant intracranial aneurysms on CTA. This suggests that integration of an artificial intelligence-assisted diagnostic model may augment clinician performance with dependable and accurate predictions and thereby optimize patient care.
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