Digital and Intelligent Generalized Inspection in Traditional Chinese Medicine and Related Equipment Development from Evidence-based Perspective
10.13422/j.cnki.syfjx.20240927
- VernacularTitle:循证视角下数智中医广义望诊研究及相关装备研制思路
- Author:
Xiaowei ZHANG
1
;
Xiaoyu ZHANG
2
;
Chen ZHAO
2
;
Mengqi PENG
3
;
Xue XU
4
;
Hongyuan LIN
1
;
Wenhui WANG
1
;
Hongcai SHANG
1
Author Information
1. School of Integrated Chinese and Western Medicine， Hunan University of Chinese Medicine， Changsha 410208， China
2. Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， Beijing 100010， China
3. Weifang Medical University， Weifang 261053， China
4. Wuhan University of Science and Technology， Wuhan 430081， China
- Publication Type:Journal Article
- Keywords:
evidence-based;
digitalization;
intellectualization;
research on inspection in traditional Chinese medicine （TCM）;
equipment
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2024;30(22):94-101
- CountryChina
- Language:Chinese
-
Abstract:
As the foremost among the four examinations in traditional Chinese medicine （TCM）， inspection and related equipment research face challenges in landing and transformation due to variations in evidence quality， lack of standardization， insufficient algorithm transparency， and poor reliability and stability of decision-making. Against the backdrop of rapid development of emerging technologies such as big data， the internet of things， and artificial intelligence， coupled with macro policy support from the government， digital and intelligent generalized inspection in TCM has emerged， with the aim of utilizing digital technologies to overcome the limitations of naked-eye inspection and comprehensively perceive and analyze facial and bodily expressions. The research in this field intelligently correlates Zang-fu organ functions with health conditions and disease progression and establishes a technical system for digital and intelligent inspection， multi-dimensional and multimodal perception， fusion analysis， and decision-making. This system aims to enhance the accuracy of disease risk warning and diagnosis， bridging the gap between inspection equipment and assistance in clinical decision-making. From an evidence-based perspective， this paper systematically examines the research ideas of digital and intelligent inspection and the development of related equipment， deeply explores how to propose clinical practice-oriented key scientific issues， comprehensively acquire and co-apply multi-dimensional data， establish precise inspection models driven by digital intelligence， optimize standards to enhance equipment interoperability and reliability， construct post-effect evaluation mechanisms to promote improvement， and actively address potential risks such as the black box nature and information security in the application of intelligent technology. This paper not only demonstrates the tremendous potential of digital technologies in improving the accuracy and clinical application efficiency of inspection but also provides new perspectives and ideas for the modernization of inspection in TCM， paving the way for the application of inspection in the global medical and health field.
