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

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.

Approach

A teaching session on CXR interpretation fundamentals was delivered to establish a standardised baseline of knowledge among participants, followed by a live tutorial introducing students to the functionality of both Chester AI and Radiopaedia. Students engaged with both tools to answer a 25-item workbook assessing complex CXR pathologies. CXRs we

SUBMITTER: Samra GS 

PROVIDER: S-EPMC12254926 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature