24 May 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.](https://universityresearchpark.org/wp-content/uploads/2023/05/AI-BRAIN-CANCER-DIAGNOSIS-1024x574.webp)
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.