QUAIDE - 在诊断内镜中对AI临床前研究的质量评估
Giulio Antonelli1, Diogo Libanio2, Albert Jeroen De Groof3
1Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli, Ariccia, Rome, Italy.
在胃肠内镜中标准化人工智能 (AI) 对临床采用至关重要. 该QUAIDE检查清单提供18个建议,用于设计和报告临床前AI研究,以提高概括性和加速创新.
科学领域:
- 胃肠病学 胃肠病学
- 医疗人工智能 医疗人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在改善胃肠道 (GI) 内镜质量方面表现有前途.
- 人工智能的临床采用受到缺乏标准化的开发和报告方法的阻碍,这影响了通用性.
研究的目的:
- 制定标准化设计和报告GI内镜前临床AI研究的建议.
- 创建诊断内镜 (QUAIDE) 诊断内镜前临床AI研究的质量评估解释和检查清单.
主要方法:
- 一种正式的共识方法,涉及32名国际多学科专家 (内镜学家和计算机科学家).
- 使用了Delphi方法论,在陈述上达成共识的80%协议门.
- 进行最多三轮投票.
主要成果:
- 在6个领域的18个关键建议上达成共识:数据采集/注释,结果报告,实验设置,算法架构和结果呈现/解释.
- 该QUAIDE检查表提供了关于研究设计 (方法,陈述1-14),结果展示 (结果,陈述15-16),以及解释 (讨论,陈述17-18) 的指导.
结论:
- 在临床前GI内镜AI研究中,QUAIDE框架为研究人员,审稿人和编辑提供了实际指导.
- 实施QUAIDE旨在加强研究设计和报告,促进研究标准化,并加快人工智能创新的临床翻译.
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