Deep Learning–Assisted Diagnosis of Cerebral Aneurysms

Thomas Falasca, June 22, 2019, physician and author of Physician’s Guide to Better Medical Decision Making: Critical Thinking in Medicine

It is encouraging to see Big Data used in other-than-commercial applications. A recent article described “Deep Learning–Assisted Diagnosis of Cerebral Aneurysms.” The artificial intelligence (AI) application provided a red overlay that could be toggled on and off on the computed tomography angiogram (CTA) image at any area where the application interpreted a 0.5 probability of an aneurysm.

The AI augmentation of the interpretation of CT angiograms improved radiologists’ performance from 0.831 to 0.890 in sensitivity, 0.960 to 0.975 in specificity, and 0.893 to 0.932 in accuracy.

Such systems are in early development and have been applied so far in radiography, pathology, and ophthalmology. Further advances should prove a great boon to medical decision making. 

Park A, Chute C, Rajpurkar P, et al. Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model. JAMA Netw Open. Published online June 07, 20192(6):e195600. doi:10.1001/jamanetworkopen.2019.5600

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