AI病理文献周选｜第01期（2026.05.17）

每周日更新，速览病理AI新进展，与您不见不散!

本期整理了10篇近期值得关注的病理AI研究，覆盖H&E预测分子改变、交互式分割、TIL量化、空间免疫组织、多模态预后建模、联邦学习与可解释AI等方向。

1. Molecular alterations prediction in gliomas via an interpretable deep learning model, The Lancet Digital Health

2. Flexible and scalable federated learning with deep feature prompts for digital pathology, npj Digital Medicine

3. A human-in-the-loop explanation framework for morphologically transparent AI predictions from whole-slide images, npj Digital Medicine

4. Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer, Clinical Cancer Research

5. Multimodal deep learning framework for recurrence risk stratification in soft tissue sarcoma, npj Precision Oncology

6. ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images, IEEE Transactions on Medical Imaging

7. AI-powered and manual assessment of tumor-infiltrating lymphocytes in early HER2-positive breast cancer in NSABP B-41, npj Breast Cancer

8. Prediction of OncotypeDX recurrence score using H&E-stained whole slide images, npj Breast Cancer

9. Artificial Intelligence in Breast Cancer Lymph Node Evaluation: Is Neoadjuvant Chemotherapy the Achilles’ Heel?, Archives of Pathology & Laboratory Medicine

10. Decoding (digital) histopathology: The building blocks for computational researchers, PLOS Digital Health

其中，第1篇Lancet Digital Health的研究的详细解读可见以下推文，您还希望我们在AI病理视界公众号中精读并解析哪篇文献呢？欢迎在评论区留言告诉我们！