让病理医生用自然语言提问，AI给出带视觉证据的透明诊断报告。
HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology
- 医生用中文提问，系统自动转为精准查询并生成结构化报告。
- 支持追问'为什么'，即时生成指向关键细胞的热力图证明。
- 抑制背景干扰，确保AI只关注病灶区域，适合临床验证使用。
为了让医生真正信任人工智能，系统不能是黑箱。我们开发了HistoLens，使其成为可解释、可协作的智能伙伴。病理医生可像询问实习生一样，用自然语言提问组织切片图像。系统将问题转化为精确查询，由AI引擎返回结构化报告。若医生追问‘为什么’，系统能立即提供‘视觉证据’——热力图精准标注出模型判断所依据的细胞与区域。通过训练使AI忽略无关背景噪声，确保分析聚焦于患者组织，如同受过训练的病理专家。最终形成以医生为主导的诊疗流程，借助可信的AI助手验证判断，提升诊断速度与信心。
原文摘要 · Abstract (English)
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.
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