Artificial Intelligence helps clinicians in the detection of intracranial aneurysms on CT angiography examinations

A new article from JAMA Network Open showed that the application of a deep learning algorithm called HeadXNet led to a statistically significant increase in sensitivity, accuracy, and interrater agreement among clinicians of different specialties for the detection of intracranial aneurysms on head CT angiography.

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