University of Southern California

WSAUA 2025: External Validation of an AI-Based Digital Pathology Model (MMAI) for Post-Prostatectomy Prognosis

This UCSF-validated AI digital pathology model predicts long-term prostate cancer outcomes after radical prostatectomy using routine H&E slides. The MMAI system independently forecasted metastasis, progression, and cancer-specific mortality, offering a faster, lower-cost alternative to genomic classifiers and supporting more precise post-surgical risk stratification.

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WSAUA 2025: Micro-Ultrasound (Micro-US), MRI, and PSMA PET in Prostate Cancer: Whole-Mount Correlation Study

Dr. Brisbane’s whole-mount correlation study compares micro-ultrasound (Micro-US), multiparametric MRI, and PSMA PET for detecting and staging prostate cancer. Results show Micro-US performs comparably to MRI for lesion detection, while MRI remains superior for assessing extracapsular extension. PSMA PET adds complementary but not superior diagnostic value.

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