AI

Neuro-oncology team releases guide for AI in brain cancer diagnosis, monitoring, treatment

An international team of neuro-oncology experts has released guidance on using AI in diagnosing, monitoring, and treating brain cancer patients.

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November 7, 2024

An international team of neuro-oncology experts has released guidance on using AI in diagnosing, monitoring and treating brain cancer patients, according to a press release from Indiana University.

The group includes IU's Spyridon Bakas, who serves the IU School of Medicine both as the Joshua Edwards Associate Professor in Pathology and Laboratory Medicine and as director of the school's Division of Computational Pathology.

The experts published two companion policy reviews in The Lancet Oncology, the second of which provides guidance on standardizing the use of AI in cancer treatment and clinical practice, with a goal of improving treatment and outcomes by replacing the current model and its use of subjective analysis by individual radiologists.

"We can use AI to look at images of the tumors more objectively," Bakas said in the release. "AI programs can help determine quickly what type of disease it is, what subtype of tumor and what particular grade it is, in addition to helping track the progress of a lesion during treatment."

"Thanks to new technology, there are ways to use AI to help assess whether a tumor is progressing or is stable," Raymond Y. Huang, associate professor at Harvard Medical School and neuroradiology division chief at Brigham and Women's Hospital in Boston, Massachusetts, said in the release. "However, there needs to be a standardized way to use AI to accurately diagnose and treat patients."