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设计基于医学生成式预训练模型（medical generative pre-trained transformer，MGPT）临床应用的真实世界研究， 需要深入思考和细致规划研究过程。相比于传统的临床研究，该类研究不仅涉及到技术的评估，还包括对医疗服务效率、医疗成本等多个方面的考量。本文详细叙述 MGPT 临床应用的真实世界研究设计方案，确保研究的高质量和高可靠性，为人工智 能在医疗领域的应用提供坚实的证据基础，还能为推动整个医疗行业的持续进步和创新做出积极的贡献。
Designing real-world studies based on the clinical application of medical generative pre-trained transformer (MGPT) requires careful consideration and detailed planning of the research process. Compared to traditional clinical studies, such studies involve not only the evaluation of technology but also considerations of healthcare service efficiency, medical costs, and other aspects. This article elaborates on the design scheme of real-world studies on the clinical application of MGPT to ensure the high quality and reliability of the research, providing a solid evidence base for the application of artificial intelligence in the medical field and making a positive contribution to driving continuous progress and innovation in the entire healthcare industry.
关键词/Keywords: 医学生成式预训练模型；人工智能；真实世界研究 / medical generative pre-trained transformer; artificial intellingence; real-world study
