基于500GB医学知识的AI健康助手，3-5轮对话即可提供精准诊断建议。
Erkang-Diagnosis-1.1 Technical Report
- 融合预训练与检索生成，构建安全可靠的医疗AI助手。
- 在综合医疗检查中表现超越GPT-4，准确率领先。
- 适合基层医疗与个人健康管理，可作智能健康伙伴。
本报告详细介绍我们基于阿里通义千问Qwen-3模型开发的Erkang-Diagnosis-1.1 AI医疗咨询助手。该模型整合约500GB高质量结构化医学知识，采用增强预训练与检索增强生成相结合的混合方法，打造安全、可靠、专业的AI健康顾问。通过3-5轮高效交互，可准确理解用户症状，完成初步分析，并提供有价值的诊断建议与健康指导。旨在成为用户的智能健康伙伴，赋能基层医疗与健康管理。经验证，Erkang-Diagnosis-1.1在综合医疗检查中优于GPT-4。
原文摘要 · Abstract (English)
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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