摘要
人工智能引发了医疗领域的数字革命,在推动行业发展方面具有极大潜力。本研究围绕临床诊疗、医学研究和公共卫生三个基本场景,聚焦人工智能与传统中医药的交叉与融合,并着重介绍人工智能在疾病诊断、决策支持、医学研究以及重大公共卫生事件中的应用。虽然人工智能在诸多方面显示出独特优势,但仍存在透明度不高、缺乏安全性评估和相关法律法规监管等问题需要谨慎解决,以促进人工智能技术在医疗领域的推广。
Artificial intelligence has sparked a digital revolution in health care and has great potential to drive the medical industry. This study centered on three scenarios: clinical setting, medical research and public health, focused on the intersection and integration of artificial intelligence and traditional Chinese medicine, and introduced the application of artificial intelligence in disease diagnosis, decision support, clinical trials, drug discovery and major public health events. Despite the unique advantages of Artificial intelligence in many aspects, there are still problems such as lack of transparency, lack of safety assessment and lack of regulation that need to be carefully addressed in order to promote the application of Artificial intelligence technology in medicine.
作者
任相阁
任相颖
李绪辉
曾宪涛
訾豪
施月仙
黄桥
王永博
余丽娜
翟文生
靳英辉
Ren Xiangge;Ren Xiangying;Li Xuhui;Zeng Xiantao;Zi Hao;Shi Yuexian;Huang Qiao;Wang Yongbo;Yu Lina;Zhai Wensheng;Jin Yinghui(College of pediatrics,Henan University of Chinese Medicine,Zhengzhou 450000,China;Center for Evidence-Based and Translational Medicine,Zhongnan Hospital of Wuhan University,Wuhan 430071,China;College of Nursing and Health,Henan University,Kaifeng 475000,China;School of Nursing,Peking University,Beijing 100000,China;Zhongnan Hospital of Wuhan University,Wuhan 430071,China;The First Affiliated Hospital of Henan University of Chinese Medicine,Zhengzhou 450000,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2022年第2期762-770,共9页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家科学技术部国家重点研发计划数字诊疗装备研发重点专项(2016YFC0106300):微创等离子手术体系及云规划解决方案,负责人:王行环
国家科学技术部国家重点研发计划科技助力经济2020重点专项(国科生字[2020]18号):微创等离子手术体系研发和产业化,负责人:王行环
武汉大学中南医院转化医学及交叉学科研究联合基金(ZNJC201917):基于深度学习的良性前列腺增生诊治评估决策辅助系统研究,负责人:曾宪涛。
关键词
人工智能
中医药
辅助诊断
决策支持
药物研发
公共卫生
Artificial intelligence
Traditional Chinese medicine
Computer-assisted diagnosis
Clinical Decision support
Drug discovery
Public health
