Dr. Khan Iftekharuddin received a $2.3 million National Institutes of Health grant to develop AI that detects glioblastoma ...
Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...
St. Jude Children’s Research Hospital scientists and multinational collaborators created AI-powered M-PACT to facilitate next ...
A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue. AI ...
An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...
A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...
Using this technique, investigators successfully detected brain cancer about three-quarters of the time in a cohort of 505 patients from the United States and South Korea. The team verified the ...
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
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