| 人工智能在病理诊断领域中的应用CSCD |
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| 引用本文： | 沈晓涵,杜祥. 人工智能在病理诊断领域中的应用CSCD[J]. 肿瘤防治研究, 2020, 47(7): 487-491. DOI: 10.3971/j.issn.1000-8578.2020.19.1131 |
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| 作者姓名： | 沈晓涵 杜祥 |
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| 作者单位： | 1. 315040 宁波，宁波市临床病理诊断中心实验病理科；2. 315040 宁波，宁波市医疗中心李惠利医院病理科；3. 200032 上海，复旦大学附属肿瘤医院病理科；4. 200032 上海，复旦大学上海医学院病理研究所 |
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| 摘 要： | 在大数据的背景下,基于深度学习的人工智能日益影响着病理学的诊断模式。人工智能应用于临床诊断,特别是病理诊断,为进一步实现精准医疗提供了契机。本文从细胞学筛查、组织学诊断、免疫表型预测和基因分型预后判断四个方面来探讨人工智能在病理诊断中的应用进展及现状。
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| 关 键 词： | 人工智能 病理诊断 弱监督学习 预后预测 |
| 收稿时间： | 2019-09-06 |
Application of Artificial Intelligence in Pathological Diagnosis |
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| SHEN Xiaohan,DU Xiang. Application of Artificial Intelligence in Pathological Diagnosis[J]. Cancer Research on Prevention and Treatment, 2020, 47(7): 487-491. DOI: 10.3971/j.issn.1000-8578.2020.19.1131 |
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| Authors: | SHEN Xiaohan DU Xiang |
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| Affiliation: | 1. Department of Experimental Pathology, Ningbo Diagnostic Pathology Center, Ningbo 315040, China; 2. Department of Pathology, Ningbo Medical Center Lihuili Hospital, Ningbo 315040, China; 3. Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; 4. Pathology Institution, Shanghai Medical College, Fudan University, Shanghai 200032, China |
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| Abstract: | In the context of “big data”, artificial intelligence based on deep learning has been increasingly influencing the diagnostic mode of pathology. The application of artificial intelligence in clinical diagnosis, especially in diagnosis of pathology, has offered the opportunity for precision medicine. This paper reviews the progress in the application of artificial intelligence in pathological diagnosis in respect of cytological screening, histopathologic diagnosis, immunophenotypic prediction and prognosis based on genetic typing. |
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| Keywords: | Artificial intelligence Pathological diagnosis Weakly supervised learning Prognosis prediction |
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