Evaluating Artificial Intelligence and Traditional Learning Tools for Chest X-Ray Interpretation: A Descriptive Study.

Journal: The clinical teacher
Published Date: Aug 1, 2025

Abstract

BACKGROUND: Chest X-ray (CXR) interpretation is a fundamental yet challenging skill for medical students to master. Traditional resources like Radiopaedia offer extensive content, while newer artificial intelligence (AI) tools, such as Chester, provide pattern recognition and real-time feedback. This study aims to evaluate Radiopaedia and Chester's effectiveness as educational tools and to explore student perspectives on AI.

Authors

  • Gurtek Singh Samra
    Department of Medicine, University of Leicester, Leicester, UK.
  • Vashisht Ramoutar
    Department of Medicine, University of Leicester, Leicester, UK.
  • Kelley Chen
    Department of Medicine, University of Leicester, Leicester, UK.
  • Muiz Chaudhry
    Department of Medicine, University of Leicester, Leicester, UK.
  • Hrithika Patel
    Department of Medicine, University of Leicester, Leicester, UK.
  • Terese Bird
    Department of Medicine, University of Leicester, Leicester, UK.
  • Vanessa Rodwell
    Department of Medicine, University of Leicester, Leicester, UK.

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