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Updated: Jan 31, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
[Current applications of artificial intelligence in tumor histopathology]
S Zheng1, F L Sun2, H J Zhang1
1Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Abstract:
The tasks of artificial intelligence (AI) in tumor histopathology include image segmentation and classification. Currently, the specific contents including lymph node metastasis, pathological classification, grade and prognostic evaluation of malignant diseases, such as breast cancer, lung cancer and prostate cancer, have been studied by AI. Evaluation of sentinel lymph node metastasis of breast cancer has been the most mature application of AI technology, whose level can be analogous to the excellent pathologists. In the future, with the close cooperation of pathologists and engineers, the research of AI will be focus on improving the technology of simple and repetitive clinical diagnosis and differential diagnosis, such as the diagnosis of sentinel lymph node metastasis of breast cancer from biopsy frozen section and the judgment of incisal margin. Ultimately, AI will help us to precisely diagnose the tumor.
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