Prospective Pathology Foundation Models

Condition(s) studied

Study summary

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.

Eligibility

Primary outcome measure(s)

• Area under ROC curve (AUC) — Diagnostic evaluation will be performed within 1 week when the WSIs are obtained
  Area under the curve

Trial sites (2)

More Nanfang Hospital, Southern Medical University trials in China

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