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