Salybekov Amankeldi A, Wolfien Markus, Hahn Waldemar, Hidaka Sumi, Kobayashi Shuzo
Kidney Disease and Transplant Center, Shonan Kamakura General Hospital, Kamakura 247-8533, Japan.
Shonan Research Institute of Innovative Medicine, Shonan Kamakura General Hospital, Kamakura 247-8533, Japan.
Biomedicines. 2024 Mar 7;12(3):606. doi: 10.3390/biomedicines12030606.
The use of artificial intelligence (AI) in healthcare is transforming a number of medical fields, including nephrology. The integration of various AI techniques in nephrology facilitates the prediction of the early detection, diagnosis, prognosis, and treatment of kidney disease. Nevertheless, recent reports have demonstrated that the majority of published clinical AI studies lack uniform AI reporting standards, which poses significant challenges in interpreting, replicating, and translating the studies into routine clinical use. In response to these issues, worldwide initiatives have created guidelines for publishing AI-related studies that outline the minimal necessary information that researchers should include. By following standardized reporting frameworks, researchers and clinicians can ensure the reproducibility, reliability, and ethical use of AI models. This will ultimately lead to improved research outcomes, enhanced clinical decision-making, and better patient management. This review article highlights the importance of adhering to AI reporting guidelines in medical research, with a focus on nephrology and urology, and clinical practice for advancing the field and optimizing patient care.
人工智能（AI）在医疗保健领域的应用正在改变包括肾脏病学在内的多个医学领域。各种人工智能技术在肾脏病学中的整合有助于对肾脏疾病的早期检测、诊断、预后和治疗进行预测。然而，最近的报告表明，大多数已发表的临床人工智能研究缺乏统一的人工智能报告标准，这在解释、复制这些研究并将其转化为常规临床应用方面带来了重大挑战。针对这些问题，全球范围内的倡议制定了发布人工智能相关研究的指南，概述了研究人员应包含的最低必要信息。通过遵循标准化报告框架，研究人员和临床医生可以确保人工智能模型的可重复性、可靠性和符合伦理的使用。这最终将带来更好的研究成果、增强临床决策能力并改善患者管理。这篇综述文章强调了在医学研究中遵循人工智能报告指南的重要性，重点关注肾脏病学和泌尿外科学以及临床实践，以推动该领域发展并优化患者护理。
