{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T01:52:27Z","timestamp":1791337947412,"version":"4.3.1"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:00:00Z","timestamp":1791244800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:00:00Z","timestamp":1791244800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJU International"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To develop and evaluate an artificial intelligence (AI)\u2010assisted, multimedia journal club model that improves accessibility by transforming scientific articles into on\u2010demand educational formats distributed through digital platforms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Subjects and Methods<\/jats:title>\n                    <jats:p>This prospective single\u2010centre educational evaluation was conducted at King's College Hospital (London). Six AI\u2010enhanced journal club sessions were implemented between June and September 2025. Peer\u2010reviewed urology articles were processed using AI\u2010assisted tools to generate podcasts, slide presentations, short\u2010form video summaries, question\u2010and\u2010answer materials, and visual infographics. Content was distributed through clinician\u2010facing platforms including YouTube, Spotify, and social media. Two surveys evaluated educational impact: a format\u2010specific survey completed by 48 participants and a second survey assessing overall perceptions of the AI\u2010enhanced journal club completed by 19 participants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The AI\u2010generated 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 \u2018much more engaged\u2019. Format\u2010specific ratings were consistently high, particularly for podcasts (mean [standard deviation, SD] score for engagement 4.6\u2009[0.6] and for clarity 4.8\u2009[0.5]). In the second survey, overall ratings of the AI\u2010enhanced journal club were high across all domains, including engagement (mean [SD] score 4.8\u2009[0.4]), clarity (mean [SD] score 4.8\u2009[0.5]), time efficiency (mean [SD] score 4.7\u2009[0.6]), and overall preference (mean [SD] score 4.9\u2009[0.3]).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>An AI\u2010assisted, multimodal journal club integrating podcasts, slides, and digital dissemination was associated with improved participant\u2010reported engagement and accessibility. This scalable model supports asynchronous learning and may complement traditional journal club formats in postgraduate medical education.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bju.70479","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T01:29:41Z","timestamp":1791336581000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence (\n                    <scp>AI)<\/scp>\n                    \u2010enhanced journal club: integrating podcasts,\n                    <scp>AI<\/scp>\n                    , and social media in medical education"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3483-1920","authenticated-orcid":false,"given":"Mohamed","family":"Abouelenein","sequence":"first","affiliation":[{"name":"Department of Urology King's College Hospital  London 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UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2335-7419","authenticated-orcid":false,"given":"Kalyan","family":"Gudaru","sequence":"additional","affiliation":[{"name":"Department of Urology King's College Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5634-4829","authenticated-orcid":false,"given":"Shyaw","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Department of Urology King's College Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9619-4251","authenticated-orcid":false,"given":"Sanjith","family":"Gnanappiragasam","sequence":"additional","affiliation":[{"name":"Department of Urology King's College Hospital  London UK"},{"name":"King's College London  London 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