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." A mammogram is a breast X-ray that aims to spot any potentially cancerous cells before symptoms arise.
Sep-28-2016, 22:12:23 GMT