Artificial Intelligence ( AI) ‐enhanced journal club: integrating podcasts, AI , and social media in medical education

IF 4.1 2区医学 Q1 UROLOGY & NEPHROLOGY

BJU International Pub Date : 2026-10-06 DOI:10.1111/bju.70479

Mohamed Abouelenein,Muhammed Arif Ibis,Molly Nichols,Azhar Khan,Maria Satchi,Nicholas Raison,Kawa Omar,Francesca Kum,Tet Yap,Edward James Bass,Kalyan Gudaru,Shyaw Ahmed,Sanjith Gnanappiragasam,Fabio Castiglione,Omer Onur Cakir

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引用次数: 0

Abstract

Objective To develop and evaluate an artificial intelligence (AI)‐assisted, multimedia journal club model that improves accessibility by transforming scientific articles into on‐demand educational formats distributed through digital platforms. Subjects and Methods This prospective single‐centre educational evaluation was conducted at King's College Hospital (London). Six AI‐enhanced journal club sessions were implemented between June and September 2025. Peer‐reviewed urology articles were processed using AI‐assisted tools to generate podcasts, slide presentations, short‐form video summaries, question‐and‐answer materials, and visual infographics. Content was distributed through clinician‐facing platforms including YouTube, Spotify, and social media. Two surveys evaluated educational impact: a format‐specific survey completed by 48 participants and a second survey assessing overall perceptions of the AI‐enhanced journal club completed by 19 participants. Results The AI‐generated podcast was the most preferred format (62.5%), followed by video summaries (16.7%) and slide presentations (8.3%). Participants reported greater engagement compared with traditional journal clubs, with 54.2% selecting the response option ‘much more engaged’. Format‐specific ratings were consistently high, particularly for podcasts (mean [standard deviation, SD] score for engagement 4.6 [0.6] and for clarity 4.8 [0.5]). In the second survey, overall ratings of the AI‐enhanced journal club were high across all domains, including engagement (mean [SD] score 4.8 [0.4]), clarity (mean [SD] score 4.8 [0.5]), time efficiency (mean [SD] score 4.7 [0.6]), and overall preference (mean [SD] score 4.9 [0.3]). Conclusion An AI‐assisted, multimodal journal club integrating podcasts, slides, and digital dissemination was associated with improved participant‐reported engagement and accessibility. This scalable model supports asynchronous learning and may complement traditional journal club formats in postgraduate medical education.

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人工智能（AI）增强的期刊俱乐部：在医学教育中整合播客、人工智能和社交媒体

目的开发和评估人工智能（AI）辅助的多媒体期刊俱乐部模型，该模型通过将科学文章转换为通过数字平台分发的按需教育格式来提高可访问性。研究对象和方法本前瞻性单中心教育评价在伦敦国王学院医院进行。在2025年6月至9月期间实施了六次AI增强的期刊俱乐部会议。同行评议的泌尿学文章使用人工智能辅助工具进行处理，生成播客、幻灯片演示、简短的视频摘要、问答材料和视觉信息图表。内容通过面向临床医生的平台分发，包括YouTube、Spotify和社交媒体。两项调查评估了教育影响：一项是由48名参与者完成的特定格式的调查，另一项是由19名参与者完成的评估人工智能增强期刊俱乐部总体看法的调查。结果人工智能生成的播客是最受欢迎的格式（62.5%），其次是视频摘要（16.7%）和幻灯片演示（8.3%）。与传统的期刊俱乐部相比，参与者的参与度更高，54.2%的人选择了“参与度高得多”。特定格式的评分一直很高，尤其是播客（参与度的平均[标准差，SD]得分为4.6[0.6]，清晰度的平均[标准差]得分为4.8[0.5]）。在第二次调查中，人工智能增强的期刊俱乐部在所有领域的总体评分都很高，包括参与度（平均[SD]得分4.8[0.4]）、清晰度（平均[SD]得分4.8[0.5]）、时间效率（平均[SD]得分4.7[0.6]）和总体偏好（平均[SD]得分4.9[0.3]）。人工智能辅助的多模式期刊俱乐部整合了播客、幻灯片和数字传播，可提高参与者报告的参与度和可访问性。这种可扩展的模式支持异步学习，可以补充研究生医学教育中传统的期刊俱乐部形式。

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来源期刊

BJU International 医学-泌尿学与肾脏学

CiteScore

9.10

自引率

4.40%

发文量

262

审稿时长

1 months

期刊介绍： BJUI is one of the most highly respected medical journals in the world, with a truly international range of published papers and appeal. Every issue gives invaluable practical information in the form of original articles, reviews, comments, surgical education articles, and translational science articles in the field of urology. BJUI employs topical sections, and is in full colour, making it easier to browse or search for something specific.