Transforming education: tackling the two sigma problem with AI in journal clubs - a proof of concept.

Journal: BDJ open
Published Date: May 8, 2025

Abstract

INTRODUCTION: Journal clubs are integral to continuing medical education, promoting critical thinking and evidence-based learning. However, inconsistent engagement, reliance on faculty expertise, and the complexity of research articles can limit their effectiveness. Generative Artificial Intelligence (Gen AI), particularly Large Language Models (LLMs) offers a potential solution, but general-purpose LLMs may generate inaccurate responses ("hallucinations"). Retrieval-Augmented Generation (RAG) mitigates this by integrating AI-generated content with curated knowledge sources, ensuring more accurate and contextually relevant responses. This study explores the development and preliminary evaluation of a RAG-enhanced LLM to support journal club discussions.

Authors

  • Fahad Umer
    Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan. Electronic address: fahad.umer@aku.edu.
  • Nighat Naved
    Operative Dentistry & Endodontics, Aga Khan University Hospital, Karachi, Pakistan.
  • Azra Naseem
    Director Blended and Digital Learning and Senior Instructor, Aga Khan University Hospital, Karachi, Pakistan.
  • Ayesha Mansoor
    Associate Blended and Digital Learning, Network of Quality, Teaching and Learning, Aga Khan University Hospital, Karachi, Pakistan.
  • Syed Murtaza Raza Kazmi
    Prosthodontics, Aga Khan University Hospital, Karachi, Pakistan.

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