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 ...

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 ...

Usually, these individuals are only referred for brain imaging if their physician suspects an underlying problem. But in the simulation, sending patients who received a liquid biopsy result suggestive ...

A novel tool for rapidly identifying the genetic "fingerprints" of cancer cells may enable future surgeons to more accurately remove brain tumors while a patient is in the operating room, new research ...

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 ...