机器学习在临床研究中的应用进展  

Advancements in the application of machine learning for clinical research

作　　者：师庆科[1,4] 李楠 叶枫[3,4] SHI Qingke;LI Nan;YE Feng(Department of Internet Hospital Management,West China Hospital,Sichuan University,Chengdu 610041,Sichuan Province,China;Information Technology Centre,West China Hospital,Sichuan University,Chengdu 610041,Sichuan Province,China;Department of Operations Management,West China Hospital,Sichuan University,Chengdu 610041,Sichuan Province,China;Engineering Research Center of Medical Information Technology,Ministry of Education,Chengdu 610041,Sichuan Province,China)

机构地区：[1]四川大学华西医院互联网医院管理办公室,成都610041 [2]四川大学华西医院互联网医院信息中心,成都610041 [3]四川大学华西医院互联网医院运营管理部,成都610041 [4]四川大学医疗信息化技术教育部工程研究中心,成都610041

出　　处：《中国数字医学》2025年第3期1-10,共10页China Digital Medicine

摘　　要：综述了机器学习在临床领域的应用现状、面临的挑战及潜在方向。重点梳理了机器学习在临床疾病风险预测、疾病诊断、检验检查、病历书写与质控、医疗管理等场景中的应用情况,探讨了机器学习在临床应用中面临的伦理监督、隐私保护和数据安全等挑战,并提出了机器学习在临床研究中的发展方向。This paper provides an overview of the types status,challenges and potential directions of machine learning application in clinical research.This paper focuses on the application of machine learning in disease risk prediction,disease diagnosis,inspection and examination,medical record writing and quality control,discusses the challenges faced by machine learning in clinical application,such as ethical supervision,privacy protection and data security,and puts forward the development direction of machine learning in clinical research.

关 键 词：机器学习 疾病风险预测 影像分析 伦理监督 

分 类 号：R319[医药卫生—基础医学] TP181[自动化与计算机技术—控制理论与控制工程]