Artificial intelligence in nephrology education: a multicenter survey of fellowship trainees at Mayo Clinic.

Frontiers in nephrology Pub Date : 2025-06-18 eCollection Date: 2025-01-01 DOI:10.3389/fneph.2025.1607017
Mohammad S Sheikh, Charat Thongprayoon, Iasmina M Craici, Jing Miao, Fawad M Qureshi, Michael A Mao, Musab S Hommos, Mary Prendergast, Sumi Nair, Kianoush B Kashani, Wisit Cheungpasitporn
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Abstract

Background: Artificial intelligence (AI) is increasingly recognized for its potential to enhance nephrology training and practice. However, the integration of AI into fellowship training remains inadequately explored. This study aimed to assess current AI utilization, perceptions, and educational needs among nephrology fellows at Mayo Clinic.

Methods: A structured online survey was administered to 23 fellows-including those specializing in kidney transplantation and onco-nephrology-across three Mayo Clinic sites (Minnesota, Arizona, and Florida). The survey addressed domains such as current AI usage, perceived relevance of AI in clinical practice, interest in formal AI training, self-assessed comfort with AI integration, and barriers to adopting AI technologies in nephrology education.

Results: A total of 21 fellows (91% response rate) participated in the survey. 76% of respondents rated AI as moderately to highly relevant to nephrology. Similarly, 76% indicated a moderate to very high interest in receiving targeted AI training. Despite these favorable perceptions, 76% had rarely or never used AI in their clinical or research activities, and none reported any formal AI education. Interactive workshops emerged as the preferred modality for AI training (52%), with limited knowledge cited as the primary barrier to adoption. Optimism was especially high regarding AI applications in predictive modeling (86%) and diagnostic imaging (81%), while confidence in AI for direct clinical decision-making remained cautious.

Conclusion: There is significant interest among nephrology fellows in AI, along with a critical need for formal education and training. The enthusiasm for AI's potential contrasts with a cautious perspective towards its current use in clinical decision-making. Our study highlights the necessity for educational initiatives that bridge the knowledge gap and foster confidence in the appropriate use of AI technologies in Nephrology fellowship.

人工智能在肾脏病学教育中的应用:一项针对梅奥诊所奖学金实习生的多中心调查。
背景:人工智能(AI)因其增强肾脏病学培训和实践的潜力而日益受到认可。然而,将人工智能整合到奖学金培训中仍然没有得到充分的探索。本研究旨在评估梅奥诊所肾病学研究员当前的人工智能使用、认知和教育需求。方法:对来自三个Mayo诊所(明尼苏达州、亚利桑那州和佛罗里达州)的23名研究人员进行了结构化的在线调查,其中包括专门从事肾移植和肿瘤肾病学的研究人员。该调查涉及的领域包括当前人工智能的使用情况、人工智能在临床实践中的感知相关性、对正式人工智能培训的兴趣、对人工智能集成的自我评估舒适度,以及在肾脏学教育中采用人工智能技术的障碍。结果:共有21名研究员参与调查,回复率91%。76%的受访者认为人工智能与肾脏病学中度至高度相关。同样,76%的人表示对接受有针对性的人工智能培训有中等到非常高的兴趣。尽管有这些良好的看法,但76%的人很少或从未在临床或研究活动中使用人工智能,没有人表示接受过正式的人工智能教育。互动研讨会成为人工智能培训的首选方式(52%),有限的知识被认为是采用人工智能的主要障碍。对人工智能在预测建模(86%)和诊断成像(81%)中的应用持乐观态度,而对人工智能用于直接临床决策的信心仍持谨慎态度。结论:肾脏病研究员对人工智能有很大的兴趣,同时也迫切需要正规的教育和培训。对人工智能潜力的热情与对其目前在临床决策中的应用的谨慎态度形成鲜明对比。我们的研究强调了教育举措的必要性,以弥合知识差距,并培养在肾病学奖学金中适当使用人工智能技术的信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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