VIDEO: Researchers at the Center for Computational and Systems Pathology discuss how computer vision and artificial intelligence are more accurately categorizing disease. view more
(New York – October 2, 2018) A pathology test that applies artificial intelligence (AI) to characterize tissue samples can accurately predict clinically significant prostate cancer disease progression following surgery, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published in Nature Prostate Cancer and Prostatic Diseases. The Precise MD post-op test automates the Gleason score (a grading system that has been used since the 1960s to establish the prognosis for a prostate cancer) through the application of an algorithm that integrates image analysis with protein biomarkers. Precise MD is a pathology platform that uses artificial intelligence and complex algorithms to translate data into clinical knowledge.
According to the American Cancer Society, prostate cancer is the second leading cause of cancer death in American men, behind lung cancer. Surgery is a treatment option that generally yields a good prognosis, but 25 to 30 percent of men who have surgery will have a recurrence. Accurate risk stratification post-surgery is essential to identifying patients at intermediate to high risk for clinically significant disease
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