Artificial intelligence algorithm accurately identifies brain tumors, study reveals

Written by Sharon Salt, Editor

An advanced optical imaging approach coupled with an artificial intelligence algorithm has been demonstrated to produce accurate, real-time intraoperative diagnosis of brain tumors, according to a recent study. The study, which has been published in Nature Medicine, examined the diagnostic accuracy of brain tumor image classification through machine learning, which was compared with the accuracy of a pathologist interpretation of histologic images. Researchers reported that the results for both methods were comparable, with the artificial intelligence-based diagnosis being 94.6% accurate and the pathologist-based interpretation being 93.9% accurate. The imaging technique – known as stimulated Raman histology – reveals tumor infiltration...

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