UW-Madison researcher uses AI to improve brain cancer diagnoses, treatment

Researchers say the models can identify patterns and go beyond current imaging scans, which can't tell the difference between new tumor growth and noncancerous legions caused by radiation.

Researchers say the models can identify patterns and go beyond current imaging scans, which can’t tell the difference between new tumor growth and noncancerous legions caused by radiation.

MADISON (WKOW) — Researchers at the University of Wisconsin Carbone Cancer Center are using artificial intelligence to improve diagnosis and treatment options for brain cancer.

Current imaging technology can’t tell the difference between a cancerous tumor and non-cancerous lesion, according to the center. Because of this, surgeons need to take a biopsy of the tissue — or remove it completely — which is very invasive. Plus, many of these lesions turn out to be benign.

“Ultimately, in 40% of cases surgeons find out that it was a benign lesion and should not have been taken out,” said Pallavi Tiwari, the co-director of Imaging and Radiation Science at UW Carbone Cancer Center.

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