Artificial Intelligence (AI)-enhanced journal club: integrating podcasts, AI, and social media in medical education
BJU International, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1111/bju.70479
- Dergi Adı: BJU International
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, Gender Studies Database, MEDLINE, Public Affairs Index, Academic Search Ultimate (EBSCO), Biomedical Reference Collection: Corporate Edition (EBSCO), Health Research Premium Collection (ProQuest)
- Anahtar Kelimeler: artificial intelligence, journal club, medical education, podcast-based learning, urology training
- Ankara Üniversitesi Adresli: Evet
Özet
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.