June 15, 2026
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VIDEO: AI model accurately identifies men eligible for genetic testing in prostate cancer
CHICAGO — In this video, Mitchell Singstock, MD, discusses results of a retrospective study that evaluated genomic testing rates for prostate cancer and whether an AI model could improve risk stratification and testing eligibility.Findings, which were presented at ASCO Annual Meeting, showed the model demonstrated 100% accuracy in 2025 in recommending National Comprehensive Cancer
TL;DRAI
University of Utah AI model achieved 100% accuracy identifying prostate cancer patients eligible for genetic testing (germline/somatic). EHR integration will automate patient stratification for PARP inhibitors and BRCA screening—validating clinical AI infrastructure priorities in healthcare stacks.
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