专家评估量化生成式 AI 手术视频的真实性差距
Quantifying the plausibility gap in generative AI for surgical video generation with expert assessment
外科医生亲自打分，评估生成式 AI 做的手术视频哪里不真实，做医学 AI 的可以看看这套评估思路。
npj Digital Medicine 于 2026 年 9 月 26 日在线发表一项研究，聚焦生成式 AI 在手术视频生成中的表现。
研究提出'合理性差距'（plausibility gap）这一概念，并通过外科专家的人工评估来量化该差距。结果显示专家判断被用作衡量生成手术视频可信度的核心手段。
该工作面向医学视频生成这一高风险应用场景。
Quantifying the plausibility gap in generative AI for surgical video generation with expert assessment
npj Digital Medicine, Published online: 26 September 2026; doi:10.1038/s41746-026-03276-z Quantifying the plausibility gap in generative AI for surgical video generation with expert assessment
This report is categorized under AITOP's "Papers" desk. Within our cross-regional analytical framework, it directly maps to AI regulation, compliance frameworks, and sovereign compute policy. Key entities and technical topics under continuous tracking include 手术视频, 视频生成, npj Digital Medicine, AI安全.
Source attribution: curated from npj Digital Medicine (@Jiebo Luo).