| 摘要: |
| 癌症管理涉及疾病诊疗的全过程，包括早期检测、肿瘤诊断、测定肿瘤边缘、跟踪肿瘤演变、预测肿瘤复发及评估患者转归等。病理学作为一门探索疾病病因、发病机制、形态结构、功能和代谢等的传统学科，是肿瘤诊断的金标准，参与了癌症管理的整个过程。人工智能在病理学中的应用为癌症管理提供了强有力的工具，病理人工智能在疾病诊断/辅助诊断、精准医疗和生命探索中都将起到重要作用。 |
| 关键词: 肿瘤诊断 人工智能 数字病理学 精准医学 预后 |
| DOI：10.16781/j.0258-879x.2021.10.1168 |
| 投稿时间：2021-03-03修订日期：2021-04-26 |
| 基金项目:国家自然科学基金面上项目（81972721），上海中医药大学附属龙华医院高层次人才引进项目（LH02.51.002）. |
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| Artificial intelligence in tumor pathological diagnosis and clinical decision-making: the prospect |
| PAN Ya-ting,LIAO Xin-yi,YU Guan-zhen* |
(Department of Oncology(Ⅶ), Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
*Corresponding author) |
| Abstract: |
| Cancer management involves the whole process of disease diagnosis and treatment, including early detection, tumor diagnosis, determination of tumor margins, tracking tumor evolution, prediction of tumor recurrence, and evaluation of clinical outcomes. As a traditional discipline aiming to explore the etiology, pathogenesis, morphological structure, function and metabolism of diseases, pathology is the gold standard for tumor diagnosis and participates in the whole process of cancer management. The application of artificial intelligence in pathology provides a powerful tool for cancer management, and will play an important role in disease diagnosis/auxiliary diagnosis, precision medicine and life exploration. |
| Key words: neoplasms diagnosis artificial intelligence digital pathology precision medicine prognosis |
