Retrospective Pathology Foundation Models

Condition(s) studied

Study summary

By integrating retrospective multimodal data such as pathology and imaging, AI technologies offer novel solutions for disease classification, tumor grading, histological and molecular subtyping, selection of chemotherapy regimens, risk stratification, and treatment-response prediction. This research direction not only deepens our understanding of tumor biological characteristics but also provides essential support for precision medicine and individualized therapy. It holds significant theoretical and practical value and has important implications for mitigating strained medical resources and improving the accuracy of therapeutic decision-making, representing a cutting-edge application with substantial translational potential.

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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