Erkang-Diagnosis-1.1 Technical Report
Jianbing Ma, Ao Feng, Zhenjie Gao, Xinyu Song, Li Su, Bin Chen, Wei Wang, Jiamin Wu

TL;DR
This technical report introduces Erkang-Diagnosis-1.1, an AI healthcare assistant built on Alibaba Qwen-3, which combines medical knowledge and advanced techniques to provide accurate health diagnostics and guidance.
Contribution
The report details the development of Erkang-Diagnosis-1.1, a secure, reliable AI health advisor integrating extensive medical knowledge with hybrid AI methods, outperforming GPT-4 in medical exams.
Findings
Erkang-Diagnosis-1.1 achieves superior performance on medical exams.
The model effectively understands symptoms and provides diagnostic suggestions.
It enhances primary healthcare and health management.
Abstract
This report provides a detailed introduction to Erkang-Diagnosis-1.1 model, our AI healthcare consulting assistant developed using Alibaba Qwen-3 model. The Erkang model integrates approximately 500GB of high-quality structured medical knowledge, employing a hybrid approach combining enhanced pre-training and retrieval-enhanced generation to create a secure, reliable, and professional AI health advisor. Through 3-5 efficient interaction rounds, Erkang Diagnosis can accurately understand user symptoms, conduct preliminary analysis, and provide valuable diagnostic suggestions and health guidance. Designed to become users intelligent health companions, it empowers primary healthcare and health management. To validate, Erkang-Diagnosis-1.1 leads GPT-4 in terms of comprehensive medical exams.
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Machine Learning in Healthcare · Explainable Artificial Intelligence (XAI)
