PDF(Pubmed)
Abstract：
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.
摘要：
人工智能（AI）在医疗保健中的使用正在改变许多医疗领域，包括肾脏病学.各种AI技术在肾病学中的集成有助于早期检测的预测，诊断,预后,和肾脏疾病的治疗。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，这给口译带来了巨大的挑战，复制,并将研究转化为常规临床应用。针对这些问题,全球倡议制定了发布AI相关研究的指南，概述了研究人员应包含的最少必要信息。通过遵循标准化报告框架，研究人员和临床医生可以确保可重复性，可靠性,以及人工智能模型的道德使用。这将最终导致更好的研究成果，加强临床决策，更好的病人管理这篇综述文章强调了在医学研究中坚持人工智能报告指南的重要性，专注于肾脏病学和泌尿科，和临床实践，以推进该领域和优化患者护理。
