Artificial intelligence algorithm accurately identifies brain tumors, study reveals

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...