从ChatGPT4.0到DeepSeek-R1:人工智能在医疗卫生领域应用的革新场景和伦理治理范式转变OA
From Chat Generative Pre-trained Transformer 4.0 to DeepSeek-R1:Innovative scenarios and ethical governance paradigm shift of artificial intelligence applications in the field of medical and health care
人工智能技术的迭代演进正在重塑全球医疗卫生体系.从基础大模型 ChatGPT4.0 到DeepSeek-R1 的深度适配,人工智能技术正引发医药研发、个性化诊疗、基层医疗、医疗数据安全应用四大核心领域的范式革命.然而,人工智能技术深层嵌入医疗卫生领域的同时,也带来了医药研发"模型幻觉风险加剧"、个性化诊疗"自主判断能力弱化"、基层医疗"人机协作冲突显化"以及健康管理"敏感信息侵犯深化"的伦理风险变化.鉴于此,聚焦当前医疗卫生领域伦理风险变化的四个维度,提出了相应的风险治理策略.这对于构建人机协同的新型医疗伦理范式、完善全球数字医疗治理体系具有重要意义.
The iterative evolution of artificial intelligence(AI)technology is reshaping the global healthcare system.From the foundational large model of Chat Generative Pre-trained Transformer(ChatGPT)4.0 to the in-depth adaptation of DeepSeek-R1,AI technology is triggering paradigm shifts across four core domains,including pharmaceutical research and development,personalized diagnosis and treatment,primary healthcare,and the secure application of medical data.Nevertheless,while AI technology becomes deeply embedded in the field of medical and health care,it has also brought about ethical risk changes,such as"exacerbated risks of model hallucination"in pharmaceutical research and development,"weakened autonomous judgment capabilities"in personalized diagnosis and treatment,"prominent human-machine collaboration conflicts"in primary healthcare,and"deepened infringement upon sensitive information"in health management.In view of this,this paper focused on four dimensions of current ethical risk changes in the field of medical and health care and proposed corresponding risk governance strategies.This is of crucial significance for constructing a novel human-machine collaborative medical ethics paradigm and refining the global digital medical governance system.
王绍源;李梦
山西医科大学马克思主义学院,山西 太原 030001山西医科大学马克思主义学院,山西 太原 030001
医药卫生
DeepSeekChatGPT医疗卫生伦理风险
DeepSeekChat Generative Pre-trained Transformermedical and health careethical risk
《中国医学伦理学》 2026 (3)
300-306,7
2020年教育部高校思想政治理论课教师研究专项"优秀中青年思政课教师择优资助项目""人工智能赋能思政教育的新趋势及'智能思政'构建研究"(20JDSZK125)2023年度山西省高等学校教学改革创新(思想政治理论课)指令性项目"'形势与政策'课教学资源库建设研究"(2023JGSZZL005)
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