人工智能在中医辅助诊断中的发展与应用
Development and Application of Artificial Intelligence in Auxiliary TCM Diagnosis.
作者信息
Feng Chuwen, Shao Yuming, Wang Bing, Qu Yuanyuan, Wang Qingyong, Li Yang, Yang Tiansong
机构信息
Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
The First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang, China.
出版信息
Evid Based Complement Alternat Med. 2021 Mar 6;2021:6656053. doi: 10.1155/2021/6656053. eCollection 2021.
Abstract
As an emerging comprehensive discipline, artificial intelligence (AI) has been widely applied in various fields, including traditional Chinese medicine (TCM), a treasure of the Chinese nation. Realizing the organic combination of AI and TCM can promote the inheritance and development of TCM. The paper summarizes the development and application of AI in auxiliary TCM diagnosis, analyzes the bottleneck of artificial intelligence in the field of auxiliary TCM diagnosis at present, and proposes a possible future direction of its development.
摘要
作为一门新兴的综合性学科，人工智能（AI）已广泛应用于各个领域，包括作为中华民族瑰宝的中医（TCM）。实现人工智能与中医的有机结合能够促进中医的传承与发展。本文总结了人工智能在中医辅助诊断中的发展与应用，分析了当前人工智能在中医辅助诊断领域的瓶颈，并提出了其未来可能的发展方向。
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本文引用的文献
1
Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study.基于人工智能的中医辅助诊断系统：验证研究。
JMIR Med Inform. 2020 Jun 15;8(6):e17608. doi: 10.2196/17608.
2
Artificial intelligence and organ transplantation: challenges and expectations.人工智能与器官移植：挑战与期望
Curr Opin Organ Transplant. 2020 Aug;25(4):393-398. doi: 10.1097/MOT.0000000000000775.
3
An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as an Example.基于本体的医学副作用预测人工智能模型：以中药为例。
Comput Math Methods Med. 2019 Oct 1;2019:8617503. doi: 10.1155/2019/8617503. eCollection 2019.
4
Artificial intelligence: Implications for the future of work.人工智能：对未来工作的影响。
Am J Ind Med. 2019 Nov;62(11):917-926. doi: 10.1002/ajim.23037. Epub 2019 Aug 22.
5
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.人工智能在糖尿病视网膜病变筛查中的应用：真实世界中的新兴应用。
Curr Diab Rep. 2019 Jul 31;19(9):72. doi: 10.1007/s11892-019-1189-3.
6
Artificial intelligence in service of medicine.服务于医学的人工智能。
Bratisl Lek Listy. 2019;120(3):218-222. doi: 10.4149/BLL_2019_028.
7
Identifying facial phenotypes of genetic disorders using deep learning.利用深度学习识别遗传疾病的面部表型。
Nat Med. 2019 Jan;25(1):60-64. doi: 10.1038/s41591-018-0279-0. Epub 2019 Jan 7.
8
Advances in Acoustic Signal Processing Techniques for Enhanced Bowel Sound Analysis.用于增强肠鸣音分析的声信号处理技术进展。
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9
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