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

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.

Key Words: reinforcement learning; distillation; artificial intelligence; medical GPT