Construction of a Disease-Syndrome Integrated Diagnosis and Treatment System for Gastric "Inflammation-Cancer" Transformation Based on Multi-Modal Phenotypic Modeling
10.13288/j.11-2166/r.2025.05.005
- VernacularTitle:基于多模态表型建模的胃“炎-癌”转化病证结合诊疗系统的构建
- Author:
Hao LI
1
;
Huiyao ZHANG
1
;
Wei BAI
2
;
Tingting ZHOU
2
;
Guodong HUANG
2
;
Xianjun RAO
2
;
Yang YANG
2
;
Lijun BAI
3
;
Wei WEI
1
Author Information
1. Science and Technology Innovation Center，Guangzhou University of Chinese Medicine，Guangzhou，510405
2. Wangjing Hospital，China Academy of Chinese Medical Sciences
3. School of Life Science and Technology，Xi'an Jiaotong University
- Publication Type:Journal Article
- Keywords:
multi-modal;
phenotype;
chronic atrophic gastritis;
disease-syndrome integration;
artificial intelligence;
inflammation-cancer transformation
- From:
Journal of Traditional Chinese Medicine
2025;66(5):458-463
- CountryChina
- Language:Chinese
-
Abstract:
By analyzing the current application of multi-modal data in the diagnosis of gastric "inflammation-cancer" transformation， this study explored the feasibility and strategies for constructing a disease-syndrome integrated diagnosis and treatment system. Based on traditional Chinese medicine （TCM） phenomics， we proposed utilizing multi-modal data from literature research， cross-sectional studies， and cohort follow-ups， combined with artificial intelligence technology， to establish a multi-dimensional diagnostic and treatment index system. This approach aims to uncover the complex pathogenesis and transformation patterns of gastric "inflammation-cancer" progression. Additionally， by dynamically collecting TCM four-diagnostic information and modern medical diagnostic information through a long-term follow-up system， we developed three major modules including information extraction， multi-modal phenotypic modeling， and information output， to make it enable real-world clinical data-driven long-term follow-up and treatment of chronic atrophic gastritis. This system can provide technical support for clinical diagnosis， treatment evaluation， and research， while also offering insights and methods for intelligent TCM diagnosis.
