We developed a deep-learning model for classifying bladder pathology on whole-slide images into normal, noninvasive, and invasive categories. Trained on multi-institutional datasets, the model showed strong performance and highlights the potential of AI-assisted pathology in improving diagnostic accuracy and efficiency.

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