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Hauptverfasser: Li, Hua, Li, Yingying, Feng, Xiaobin, Fu, Xinyi, Dong, Lifeng, Yang, Qingfeng, Chen, Yanzhe, Feng, Xiaoju, Cao, Zhidong, Guo, Jianbin, Du, Yanru
Format: Preprint
Veröffentlicht: 2026
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Online-Zugang:https://arxiv.org/abs/2603.28191
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author Li, Hua
Li, Yingying
Feng, Xiaobin
Fu, Xinyi
Dong, Lifeng
Yang, Qingfeng
Chen, Yanzhe
Feng, Xiaoju
Cao, Zhidong
Guo, Jianbin
Du, Yanru
author_facet Li, Hua
Li, Yingying
Feng, Xiaobin
Fu, Xinyi
Dong, Lifeng
Yang, Qingfeng
Chen, Yanzhe
Feng, Xiaoju
Cao, Zhidong
Guo, Jianbin
Du, Yanru
contents The clinical burden of spleen-stomach disorders is substantial. While large language models (LLMs) offer new potential for medical applications, they face three major challenges in the context of integrative Chinese and Western medicine (ICWM): a lack of high-quality data, the absence of models capable of effectively integrating the reasoning logic of traditional Chinese medicine (TCM) syndrome differentiation with that of Western medical (WM) disease diagnosis, and the shortage of a standardized evaluation benchmark. To address these interrelated challenges, we propose DongYuan, an ICWM spleen-stomach diagnostic framework. Specifically, three ICWM datasets (SSDF-Syndrome, SSDF-Dialogue, and SSDF-PD) were curated to fill the gap in high-quality data for spleen-stomach disorders. We then developed SSDF-Core, a core diagnostic LLM that acquires robust ICWM reasoning capabilities through a two-stage training regimen of supervised fine-tuning. tuning (SFT) and direct preference optimization (DPO), and complemented it with SSDF-Navigator, a pluggable consultation navigation model designed to optimize clinical inquiry strategies. Additionally, we established SSDF-Bench, a comprehensive evaluation benchmark focused on ICWM diagnosis of spleen-stomach disorders. Experimental results demonstrate that SSDF-Core significantly outperforms 12 mainstream baselines on SSDF-Bench. DongYuan lays a solid methodological foundation and provides practical technical references for the future development of intelligent ICWM diagnostic systems.
format Preprint
id arxiv_https___arxiv_org_abs_2603_28191
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle DongYuan: An LLM-Based Framework for Integrative Chinese and Western Medicine Spleen-Stomach Disorders Diagnosis
Li, Hua
Li, Yingying
Feng, Xiaobin
Fu, Xinyi
Dong, Lifeng
Yang, Qingfeng
Chen, Yanzhe
Feng, Xiaoju
Cao, Zhidong
Guo, Jianbin
Du, Yanru
Computation and Language
The clinical burden of spleen-stomach disorders is substantial. While large language models (LLMs) offer new potential for medical applications, they face three major challenges in the context of integrative Chinese and Western medicine (ICWM): a lack of high-quality data, the absence of models capable of effectively integrating the reasoning logic of traditional Chinese medicine (TCM) syndrome differentiation with that of Western medical (WM) disease diagnosis, and the shortage of a standardized evaluation benchmark. To address these interrelated challenges, we propose DongYuan, an ICWM spleen-stomach diagnostic framework. Specifically, three ICWM datasets (SSDF-Syndrome, SSDF-Dialogue, and SSDF-PD) were curated to fill the gap in high-quality data for spleen-stomach disorders. We then developed SSDF-Core, a core diagnostic LLM that acquires robust ICWM reasoning capabilities through a two-stage training regimen of supervised fine-tuning. tuning (SFT) and direct preference optimization (DPO), and complemented it with SSDF-Navigator, a pluggable consultation navigation model designed to optimize clinical inquiry strategies. Additionally, we established SSDF-Bench, a comprehensive evaluation benchmark focused on ICWM diagnosis of spleen-stomach disorders. Experimental results demonstrate that SSDF-Core significantly outperforms 12 mainstream baselines on SSDF-Bench. DongYuan lays a solid methodological foundation and provides practical technical references for the future development of intelligent ICWM diagnostic systems.
title DongYuan: An LLM-Based Framework for Integrative Chinese and Western Medicine Spleen-Stomach Disorders Diagnosis
topic Computation and Language
url https://arxiv.org/abs/2603.28191