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

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-assi…

By the Truvace desk1 min read1 sourcePeer-reviewedTRV-2026-1801· cite & verify
Artificial Intelligence (AI)-enhanced journal club: integrating podcasts, AI, and social media in medical education
Students at a classroom at the CU by Billjones94. CC BY-SA 4.0 · https://creativecommons.org/licenses/by-sa/4.0

In brief

Clinicians at King's College Hospital in London ran six journal club sessions between June and September 2025 in which AI tools converted peer-reviewed urology papers into podcasts, slides, short videos, question-and-answer materials and infographics. The content was shared on YouTube, Spotify and social media for on-demand use.

The results suggest AI-assisted repackaging could make postgraduate medical education easier to access and more engaging. However, the evidence rests on self-reported satisfaction from a small group at one site, so learning outcomes, accuracy of the AI-generated content and wider applicability remain untested.

Main points

  1. Podcasts were the preferred format for 62.5% of respondents, ahead of video summaries (16.7%) and slides (8.3%).
  2. 54.2% of participants chose 'much more engaged' when comparing the sessions with traditional journal clubs.
  3. Podcasts scored a mean of 4.6 for engagement and 4.8 for clarity in the format-specific survey.
  4. The overall survey rated time efficiency at 4.7 and overall preference at 4.9.

The gain

Turning urology papers into AI-generated podcasts, videos and slides was linked to higher self-reported engagement and clarity among journal club participants than traditional sessions.

The rundown

The study was a prospective, single-centre educational evaluation at King's College Hospital. Six sessions were delivered between June and September 2025 using AI-assisted tools to generate multiple content formats from urology articles.

Two surveys captured feedback: one on specific formats completed by 48 participants, and one on overall perceptions completed by 19 participants. Ratings in the second survey were high for engagement, clarity, time efficiency and preference.

The authors conclude the model is scalable, supports asynchronous learning, and may complement rather than replace traditional journal club formats.

Sources

  1. Peer-reviewedBJU International2026-10-06

The debate