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EVALUATION OF COMMERCIAL MAMMOGRAPHY-BASED ARTIFICIAL INTELLIGENCE ALGORITHMS FOR BREAST CANCER RISK PREDICTION IN U.S. SCREENING POPULATIONS - PROJECT SUMMARY WOMEN KNOWN TO BE AT HIGH RISK FOR BREAST CANCER HAVE OPPORT

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EVALUATION OF COMMERCIAL MAMMOGRAPHY-BASED ARTIFICIAL INTELLIGENCE ALGORITHMS FOR BREAST CANCER RISK PREDICTION IN U.S. SCREENING POPULATIONS - PROJECT SUMMARY WOMEN KNOWN TO BE AT HIGH RISK FOR BREAST CANCER HAVE OPPORTUNITIES TO REDUCE THEIR RISK THROUGH PRIMARY AND SECONDARY BREAST CANCER PREVENTION, INCLUDING RISK-REDUCING MEDICATIONS AND SUPPLEMENTAL SCREENING BEYOND MAMMOGRAPHY. HOWEVER, BREAST CANCER RISK MODELS USED TO IDENTIFY WOMEN ELIGIBLE FOR RISK REDUCTION HAVE ONLY MODEST ACCURACY FOR PREDICTING INDIVIDUAL- LEVEL BREAST CANCER RISK AND PERFORM EVEN LESS WELL IN BLACK AND HISPANIC

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award

region

US

value

2852410

unit

USD