GleasonAI achieves quadratic-weighted kappa of 0.86 on ISUP grading of 10,366 long-term archived prostate biopsy cores, with performance stable over 17 years and a clear prognostic gradient for cancer-specific mortality.
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Validation of an AI-based end-to-end model for prostate pathology using long-term archived routine samples
GleasonAI achieves quadratic-weighted kappa of 0.86 on ISUP grading of 10,366 long-term archived prostate biopsy cores, with performance stable over 17 years and a clear prognostic gradient for cancer-specific mortality.