Histopathology remains the gold standard for disease diagnosis, yet faces challenges including pathologist shortages and diagnostic model limitations. This underscores the critical need to develop deep learning-based pathology foundation models integrating prospective imaging and clinical data. Such models would enhance diagnostic accuracy and efficiency, enabling tumor grading, histo-molecular classification, and intelligent chemotherapy guidance - ultimately optimizing clinical workflows. However, a critical gap remains: the absence of prospectively validated, pan-disease pathology foundation models. Developing clinically validated models is therefore imperative.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Area under ROC curve (AUC)
Timeframe: Diagnostic evaluation will be performed within 1 week when the WSIs are obtained