A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff

A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff

Background: With the significant development of artificial intelligence (AI) in recent years, the inheritance and innovation of traditional Chinese medicine (TCM) urgently require the help of AI technology. The present study was to evaluate the attitudes and perceptions of medical staff towards the...

Full description

Saved in:
Bibliographic Details
Main Authors: Yinger Gu, Xinyin Hu, Hye Won Lee, Zheng Yao, Tianyi Zhou, Nv Xia, Pingchun Yang, Jinglu Guo, Haifeng Huang, Lisi Wang, Wei Wang, Cheng Wang, Qiaoping Zhao, Lingling Lou, Wenjie Wu, Ke Ren, Guomei You, Longlong Fan, Jue Zhou, Fangfang Wang, Xiaoteng Chen, Fan Qu
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Integrative Medicine Research
Subjects:
Traditional Chinese medicine
Artificial intelligence
A national survey
Medical staff
Online Access:http://www.sciencedirect.com/science/article/pii/S2213422025000940
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items