Wisdom Inheritance of Distinguished Physicians' Experience Through Integration of Multimodal Data and AIGC： A Case Study on Experience in Diagnosis and Treatment of Lung Cancer with Phlegm-dampness and Blood Stasis Syndrome by Distinguished Traditional Chinese Medicine Physicians of Sichuan School
10.13422/j.cnki.syfjx.20260315
- VernacularTitle:基于多模态数据生成式人工智能相融合的名医经验智慧传承：以川派名中医辨治痰湿瘀阻型肺癌经验研究为例
- Author:
Yang YU
1
;
Yadong MU
1
;
Wenping LIU
1
;
Chongcheng XI
1
;
Li ZHANG
1
;
Yan GAO
2
;
Cen JIANG
1
;
Quansheng FENG
1
Author Information
1. Chengdu University of Traditional Chinese Medicine， Chengdu 611137， China
2. Chengdu University of Information Technology， Chengdu 610103， China
- Publication Type:Journal Article
- Keywords:
multimodal data;
artificial intelligence-generated content （AIGC）;
distinguished traditional Chinese medicine physician of Sichuan school;
lung cancer;
diagnosis and treatment experience
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2026;32(14):14-25
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer， with persistently high incidence and mortality rates， remains a significant global health challenge. By taking the study on the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School as an example， the diagnosis and treatment system for lung cancer with phlegm-dampness and blood stasis syndrome， which was formed in response to the humid and foggy environment of the Sichuan Basin， possesses unique value. However， traditional inheritance modes face challenges such as fragmentation， lack of standardization， and insufficient quantification， which hinder the promotion and application of this experience. This research focused on how to leverage multimodal data and artificial intelligence-generated content （AIGC） to achieve precise analysis， intelligent inheritance， and clinical innovation of the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School. By integrating multimodal data （encompassing four diagnostic methods of traditional Chinese medicine， modern medical imaging， clinical laboratory tests， molecular biology， and regional environmental information）， a precise diagnosis and treatment system integrating macro and micro perspectives for the "disease， syndrome， and pathogenesis" was constructed. The research yielded the following results： （1） In precise syndrome differentiation， the objective quantification of the phlegm-dampness and blood stasis syndrome was achieved. By constructing a "four diagnostic methods， imaging， and molecule" correlation model， the study revealed intrinsic links between tongue and pulse parameters and the tumor microenvironment， as well as between regional climatic factors and syndrome characteristics， enabling real-time dynamic monitoring of efficacy. （2） In elucidating patterns， the study systematically explored the syndrome differentiation thoughts of Sichuan School physicians， such as the timing of purgation and tonification. A "pathogenesis， syndrome complex， and prescriptions and herb" network model was constructed， which accurately elucidated the synergistic action mechanisms of core herb pairs and quantified the dynamic compatibility patterns of reinforcing healthy Qi and eliminating pathogenic factors. （3） In intelligent empowerment， an auxiliary system integrating intelligent syndrome differentiation， treatment plan generation， and efficacy evaluation was built. This system can fuse regional characteristics with individual data， dynamically generate and optimize personalized prescriptions aligned with the experience of Sichuan School， and predict efficacy trends and potential adverse reactions. The integration of multimodal data and AIGC can effectively facilitate the structured inheritance and clinical translation of distinguished physicians' experience. The established intelligent diagnosis and treatment model integrating traditional Chinese medicine and Western medicine demonstrates clear potential in prolonging patients' progression-free survival， alleviating symptoms， and reducing adverse reactions to treatment. This study provides a referential methodological framework for the traditional Chinese medicine experience in diagnosis and treatment of lung cancer， especially the empirical inheritance and modernized development of regional academic schools. It contributes to advancing clinical diagnosis and treatment toward greater precision and personalization.
