Li Nan, Yu Jiarui, Mao Xiaobo, Zhao Yuping, Huang Luqi
School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China.
China Academy of Chinese Medical Sciences, Beijng 100020, China.
Evid Based Complement Alternat Med. 2022 May 2;2022:7644524. doi: 10.1155/2022/7644524. eCollection 2022.
With the rapid development and application of artificial intelligence (AI) in medical field, the diagnostic ways of human health and the social medical structures have changed. Based on the concept of holism and the theory of syndrome differentiation and treatment, TCM realizes comprehensive informatization and intelligence with the help of AI technology in data mining, intelligent diagnosis and treatment, intelligent learning, and decision-making. Furthermore, the intelligent research of TCM technology will further promote the improvement in TCM diagnosis and treatment rules and the leaping development of TCM intelligent instruments. In this article, we performed a systematic review of scientific literature about TCM and AI. Moreover, the practical problems of TCM intellectualization, the current situation and demand of TCM, and the influence of AI in the TCM field are discussed by searching for literature using TCM scientific databases, reference lists, expert consultation, and targeted websites. Finally, we look forward to the application prospects of AI and propose a possible future direction of intelligent TCM in the current health-care system in China.
随着人工智能(AI)在医学领域的快速发展与应用,人类健康的诊断方式以及社会医疗结构发生了改变。中医基于整体观和辨证论治理论,借助AI技术在数据挖掘、智能诊疗、智能学习及决策等方面实现了全面信息化与智能化。此外,中医技术的智能化研究将进一步推动中医诊疗规则的完善以及中医智能仪器的跨越式发展。在本文中,我们对有关中医与AI的科学文献进行了系统综述。此外,通过使用中医科学数据库、参考文献列表、专家咨询及相关目标网站检索文献,探讨了中医智能化的实际问题、中医的现状与需求以及AI在中医领域的影响。最后,我们展望了AI的应用前景,并提出了智能中医在当前中国医疗保健系统中可能的未来发展方向。