An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer

Abstract

We reported an artificial intelligence-based diagnostic model for BCa that performed well in identifying invasion depth and histologic grade. Importantly, the PAIDM performed admirably in patch-level recognition, with a promising application for transurethral resection specimens.