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October 10, 2025Open Access

Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior

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Authors

SWSheng WangRWRuiming WuCHCharles Herndon

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Overview

Observational analysis improved gastrointestinal lymph-node metastasis diagnosis in pathology, indicating scalable AI-based solutions may enhance clinical practice.

Key Points

  • Pathology-CoT achieved 84.5% precision and 100.0% recall in detecting gastrointestinal lymph-node metastasis, showing strong performance.
  • The AI Session Recorder converts viewer logs into standardized behavioral commands, reducing labeling time by six times.
  • Using expert supervision data, Pathologist-o3 proposes regions of interest and executes behavior-guided reasoning for diagnosis.
  • This innovative framework may enable scalable and human-aligned clinical AI in pathology, addressing current limitations.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68e861b07ef2f04ca37e4ae7https://doi.org/10.48550/arxiv.2510.04587
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evidence-based diagnostic reasoning with multi-agent copilot for human pathology2025 · 1 citations
  2. 2From manually engineered deep learning to agentic AI in computational pathology2026
  3. 3IPathWS: An Integrated Scalable System for Explainable Pathology Diagnosis with Spectral Heterogeneity Engine Networks2026
  4. 4PathInteract: a video analysis suite for capturing and analyzing pathology slide reviewing interactions2026
  5. 5PathBot: A Foundation Model for Pathological Image Analysis2025 · 3 citations