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人工智能医学应用中的技术路径与法律边界—— 以强化学习与蒸馏技术为视角

Technical path and legal boundary in the medical application of artificial intelligence: from the perspective of reinforcement learning and distillation technology

卢叶婷1*,杨宇平

1. 上海小度律师事务所,上海 200135 2. 香港城市大学,香港特别行政区 999077


[作者简介] 卢叶婷.

* 通信作者(Corresponding author). Tel: 021-61187158, E-mail: luyeting@shalldolaw.com

[收稿日期] 2025-03-19 [接受日期] 2025-03-28 [发表日期] 2025-03-30


伦理声明 无。 

利益冲突 所有作者声明不存在利益冲突。 

作者贡献 卢叶婷:选题、撰写、修改论文;杨宇平:撰写、修改论文。

DOIhttps://doi.org/10.61189/117222wmzjug 

摘要/Abstract

本文探讨了先进人工智能技术在医学领域的应用,特别关注强化学习与蒸馏技术的创新应用及应用中需注意的法律合规问题。以最新的大型语言模型(LLM)技术结合强化学习和蒸馏技术发展为例,分析了AI技术知识产权边界、医疗数据使用合规性以及医疗AI监管框架的关键问题。文章讨论了如何在推进医疗AI创新的同时,确保患者权益保护和医疗伦理 规范遵守,为医疗AI的健康发展提供了理论参考。

This paper discusses the application of advanced artificial intelligence technology in the field of medicine, with special attention to the innovative application of reinforcement learning and distillation technology and the legal compliance issues that need attention in the application. Using the latest large language model (LLM) technology combined with reinforcement learning and distillation technology developments as examples, the key issues of AI technology intellectual property boundaries, healthcare data use compliance, and healthcare AI regulatory framework are analyzed. This paper discusses how to promote the innovation of medical AI while ensuring the protection of patients’ rights and interests and compliance with medical ethics, and provides a theoretical reference for the healthy development of medical AI.

关键词/Keywords: 强化学习;蒸馏技术;人工智能;医学GPT / reinforcement learning; distillation; artificial intelligence; medical GPT

卢叶婷,杨宇平. 人工智能医学应用中的技术路径与法律边界——以强化学习与蒸馏技术为视角[J]. 元宇宙医学,2025, 2(1):57-64. 

LU Y T,YANG Y P. Technical path and legal boundary in the medical application of artificial intelligence: from the perspective of reinforcement learning and distillation technology[J]. Metaverse Med,2025,2(1):57-64. 

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