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QuarkMed Medical Foundation Model Technical Report
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QuarkMed利用医学数据、RAG技术和强化学习,开发出高准确率医疗基础模型,在多个医学基准测试中表现优异,为用户提供个性化医疗AI解决方案。

arXiv:2508.11894v1 Announce Type: new Abstract: Recent advancements in large language models have significantly accelerated their adoption in healthcare applications, including AI-powered medical consultations, diagnostic report assistance, and medical search tools. However, medical tasks often demand highly specialized knowledge, professional accuracy, and customization capabilities, necessitating a robust and reliable foundation model. QuarkMed addresses these needs by leveraging curated medical data processing, medical-content Retrieval-Augmented Generation (RAG), and a large-scale, verifiable reinforcement learning pipeline to develop a high-performance medical foundation model. The model achieved 70% accuracy on the Chinese Medical Licensing Examination, demonstrating strong generalization across diverse medical benchmarks. QuarkMed offers a powerful yet versatile personal medical AI solution, already serving over millions of users at ai.quark.cn.

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医疗AI QuarkMed 诊断准确率 强化学习 医学基础模型
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