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Whether a lesion is called precancer or cancer varies between pathologists, and over time the bar has drifted lower. AI reference reads could hold the line.
Inter-observer disagreement is high for DCIS versus atypia, Gleason pattern 3 versus 4, and melanocytic lesions; diagnostic drift inflates incidence. Propose AI reference classifiers calibrated to historical outcome-linked cohorts, used as mandatory second reads for borderline categories, with discordance triggering expert review.
Shares PathAI, Paige AI, AI that is built but not validated or deployed, Digital pathology & AI.
Shares PathAI, Paige AI, Pathology & radiology foundation models, AI that is built but not validated or deployed.
Shares Overdiagnosis in cancer, AI that is built but not validated or deployed, Overdiagnosis and false alarms.
Shares PathAI, Paige AI, Pathology & radiology foundation models, AI that is built but not validated or deployed.
Shares PathAI, Paige AI, Pathology & radiology foundation models, AI that is built but not validated or deployed.
Shares Overdiagnosis in cancer, AI that is built but not validated or deployed, Overdiagnosis and false alarms.
Shares Paige AI, Pathology & radiology foundation models, Digital pathology & AI.