DeepSeek作为中国自主研发的通用大语言模型，凭借其高效、低成本的训练与推理能力和本土化优势，正在医学及相关领域引发广泛而深刻的变革。本文探讨了DeepSeek在医学及相关领域的应用可能，梳理和总结了DeepSeek在诊断环节、治疗环节、数据管理与知识发现场景、患者服务与教育环节、资源优化与管理、基因与生物技术领域的应用方式和具体案例，归纳了医学及相关领域的机构使用DeepSeek由浅到深的4个层次，深入探讨了DeepSeek应用层面浅、用户隐私泄露以及大语言模型所固有的“幻觉”问题，并给出了应对方案。未来，随着医学知识库的持续完善与模型可解释性的增强，DeepSeek 有望进一步推动精准医疗与智能决策的发展，成为医学新质生产力的关键引擎。

As a Chinese indigenous general-purpose large language model, DeepSeek is transforming the medical field with its efficient, low-cost training and reasoning, and localization advantages. This paper explores DeepSeek’s application possibilities in medicine, covering its uses in diagnosis, treatment, data management, patient services, resource optimization, and gene - biotechnology. It also outlines four levels of DeepSeek adoption by medical institutions, addresses challenges like superficial application, user privacy risks, and model hallucinations, and suggests solutions. Looking ahead, as medical knowledge bases grow and model interpretability improves, DeepSeek is set to boost precision medicine and intelligent decision-making, becoming a key driver of medical productivity.