AI病理文献周选｜第14期（2026.08.16）

每周日更新，速览病理AI新进展，与您不见不散!

本期整理了9篇近期值得关注的病理AI研究，覆盖三维病理、风险分层、分割和图像超分辨率算法等方向。

1. Deep-learning triage of three-dimensional pathology datasets for comprehensive and efficient pathologist assessments, Nature Biomedical Engineering（影响因子：26.3）

2. Artificial Intelligence-Assisted Risk Stratification in Stage II Colorectal Cancer: Multi-Institutional Validation of Semantically Enhanced Deep Learning, Gastroenterology（影响因子：25.1）

3. A multi-class gastric biopsy artificial intelligence model developed from whole slide histopathological images, npj Digital Medicine（影响因子：18.0）

4. BraMARS: An Interpretable Histopathology-Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited-Stage SCLC, Advanced Science（影响因子：14.1）

5. Use of Artificial Intelligence for Duodenal Biopsy for Celiac Disease: Developing a Prediction Model for Histopathology Diagnosis, Clinical Gastroenterology and Hepatology（影响因子：12.0）

6. CAT-WSI: Context-Aware Trajectory Learning for Whole-Slide Breast Pathology Segmentation, IEEE Transactions on Medical Imaging（影响因子：11.2）

7. Achieving High-Fidelity and Consistent Super-Resolution in Pathological Images using a Novel Consistency-Restricted Diffusion Framework, International Journal of Computer Vision（影响因子：10.3）

8. Multimodal radiopathological integration for prognosis of limited and extensive stage small cell lung cancer, npj Precision Oncology（影响因子：9.9）

9. An Artificial Intelligence (AI) model integrating multiscale foundation model histopathology representations with molecular and clinical features predicts early and late distant recurrence in TAILORx, npj Breast Cancer（影响因子：8.4）

其中我们对第2篇 Gastroenterology 发表的研究的详细解读可以见文末的推文链接哦

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