人工智能在原发性肝癌诊疗中的应用

方驰华; 蔡伟

doi:10.3969/j.issn.1001-5256.2022.01.004

人工智能在原发性肝癌诊疗中的应用

DOI: 10.3969/j.issn.1001-5256.2022.01.004

方驰华^1, ,,
蔡伟²

1.
南方医科大学珠江医院肝胆一科, 广东省数字医学临床工程技术研究中心, 广州 510282
2.
中国科学技术大学附属第一医院(安徽省立医院) 肝胆外科, 合肥 230036

基金项目:

国家重点研发计划数字诊断与治疗装备研发重点专项 (2016YFC0106500);

国家重大科研仪器研制项目 (81627805);

国家自然科学基金数学天元基金 (12026602);

安徽省自然科学基金青年基金 (2008085QH418)

利益冲突声明：所有作者均声明不存在利益冲突。

作者贡献声明：方驰华负责选题，拟定写作思路和最终定稿；蔡伟负责撰写论文。

详细信息

通信作者:
方驰华，fangch_dr@163.com

计量
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- 被引次数: 0
出版历程
- 收稿日期: 2021-10-11
- 录用日期: 2021-11-19
- 出版日期: 2022-01-20

Application of artificial intelligence in the diagnosis and treatment of primary liver cancer

Chihua FANG^{1
, ,},
Wei CAI²

1.
Clinical Engineering and Technological Research Center of Digital Medicine of Guangdong Province, First Department of Hepatobiliary Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou 510282, China
2.
Department of Hepatobiliary Surgery, The First Affiliated Hospital of University of Science and Technology of China & Anhui Provincial Hospital, Hefei 230036, China

Research funding:

National Key Research and Development Program (2016YFC0106500);

National Natural Science Foundation of China (81627805);

National Natural Science Foundation of China Mathematics Tianyuan Foundation (12026602);

Youth Program of Natural Science Foundation of Anhui Province (2008085QH418)

摘要

摘要: 在医疗大数据时代, 人工智能技术在医学中的应用日益广泛。通过对海量医学数据进行高效管理、信息挖掘后可以得到关于疾病发生发展、生存预后等有益信息。近年来, 人工智能技术在原发性肝癌中的应用亦取得了一些成果。本文将详述其在肝癌诊断和治疗中的应用现状及前景。
- 肝肿瘤 /
- 人工智能 /
- 卷积神经网络
Abstract: In the era of medical big data, artificial intelligence is increasingly widely used in medicine. Efficient management and information mining of massive medical data can obtain useful information on disease development, progression, survival, and prognosis. In recent years, some achievements have been made in the application of artificial intelligence in primary liver cancer. This article elaborates on the current status and prospects of its application in the diagnosis and treatment of liver cancer.
- Liver Neoplasm /
- Artificial Intelligence /
- Convolutional Neural Networks

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参考文献(37)

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