Researchers have developed machine learning software that can accurately diagnose a patient’s breast cancer risk 30 times faster than doctors, based on mammogram results and personal medical history.
The system could help doctors give better diagnoses the first time around — which means fewer mammogram callbacks and false positives.
“This software intelligently reviews millions of records in a short amount of time, enabling us to determine breast cancer risk more efficiently using a patient’s mammogram,” said one of the researchers, Stephen Wong, from Houston Methodist Research Institute. “This has the potential to decrease unnecessary biopsies.”
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