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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

The findings offer another way to foster breast cancer early detection, improve patient survival rates across different populations, and reduce disparity in survival rates, said study lead author Leslie Lamb, MD, of Massachusetts General Hospital (MGH) in Boston in a statement. “In Image and caption courtesy of RSNA.

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ChatGPT identifies incidental CT findings

AuntMinnie

A team led by Rajesh Bhayana, MD, from Toronto General Hospital in Canada found that the large language model achieved a perfect F1 score for incidental adrenal nodules and highlighted that their results show that such models can be applied flexibly in medical settings.