Kwak Sang Gyu, Kim Jonghae
Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu, Korea.
Department of Anesthesiology and Pain Medicine, Daegu Catholic University Medical Center, Daegu Catholic University School of Medicine, Daegu, Korea.
Korean J Anesthesiol. 2025 Jun;78(3):199-214. doi: 10.4097/kja.25075. Epub 2025 Mar 26.
The rapid advancement of artificial intelligence (AI) in healthcare necessitates comprehensive and standardized reporting guidelines to ensure transparency, reproducibility, and ethical applications in clinical research. Existing reporting standards are limited by their focus on specific study designs. We aimed to develop a comprehensive set of guidelines and a checklist for reporting studies that develop and utilize AI models in healthcare, covering all essential components of AI research regardless of the study design.
Two experts in statistics from the Statistical Round of the Korean Journal of Anesthesiology developed these guidelines and checklist. The key elements essential for AI model reporting were identified and organized into structured sections, including study design, data preparation, model training and evaluation, ethical considerations, and clinical implementation. Iterative reviews and feedback from clinicians and researchers were used to finalize the guidelines and checklist.
These guidelines provide a detailed description of each item on the checklist, ensuring comprehensive reporting of AI model research. Full details regarding the AI model specifications and data-handling processes are provided.
These guidelines and checklist are meant to serve as valuable tools for researchers, addressing key aspects of AI reporting, and thereby supporting the reliability, accountability, and ethical use of AI in healthcare research.
人工智能（AI）在医疗保健领域的迅速发展需要全面且标准化的报告指南，以确保临床研究中的透明度、可重复性和道德应用。现有的报告标准因侧重于特定研究设计而受到限制。我们旨在制定一套全面的指南和清单，用于报告在医疗保健中开发和使用AI模型的研究，涵盖AI研究的所有基本组成部分，而不考虑研究设计。
《韩国麻醉学杂志统计专刊》的两位统计学专家制定了这些指南和清单。确定了AI模型报告的关键要素，并将其组织成结构化的部分，包括研究设计、数据准备、模型训练与评估、伦理考量和临床应用。通过临床医生和研究人员的反复审查和反馈来最终确定指南和清单。
这些指南对清单上的每个项目都进行了详细描述，确保对AI模型研究进行全面报告。提供了有关AI模型规格和数据处理过程的完整详细信息。
这些指南和清单旨在作为研究人员的宝贵工具，解决AI报告的关键方面，从而支持AI在医疗保健研究中的可靠性、可问责性和道德使用。
