mlsanityData to 14 Oct 2026

HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology

arXiv 2510.24115 ↗First posted 28 Oct 2025cs.AI cs.LGcited by 0

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Abstract (arXiv)

For doctors to truly trust artificial intelligence, it can't be a black box. They need to understand its reasoning, almost as if they were consulting a colleague. We created HistoLens1 to be that transparent, collaborative partner. It allows a pathologist to simply ask a question in plain English about a tissue slide--just as they would ask a trainee. Our system intelligently translates this question into a precise query for its AI engine, which then provides a clear, structured report. But it doesn't stop there. If a doctor ever asks, "Why?", HistoLens can instantly provide a 'visual proof' for any finding--a heatmap that points to the exact cells and regions the AI used for its analysis. We've also ensured the AI focuses only on the patient's tissue, just like a trained pathologist would, by teaching it to ignore distracting background noise. The result is a workflow where the pathologist remains the expert in charge, using a trustworthy AI assistant to verify their insights and make faster, more confident diagnoses.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 28 Oct 2025.

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10 of 21 references.

References · 10

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  9. 2024PathAlign: A vision-language model for whole slide images in histopathologycited by 30
  10. 2024MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlationscited by 2

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  1. 2026Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning
  2. 2025NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
  3. 2024HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis
  4. 2025TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots
  5. 2025Exploring General-Purpose Autonomous Multimodal Agents for Pathology Report Generation
  6. 2025PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
  7. 2025Evidence-based diagnostic reasoning with multi-agent copilot for human pathology
  8. 2025Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language Modelling