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From image to clinical judgment

A randomized near-peer teaching trial on systematic chest radiograph interpretation

Bibliographic Data

ID22425170
AuthorsAndres Felipe Yepes-Velasco (0000-0002-2705-2324, Universidad de los Andes, corresponding author), Andres Solano (0000-0002-1159-3767, Universidad del Rosario), Jorge Hernandez (0000-0003-4876-2402), J Andres Hernandez (0000-0001-9824-6698, Universidad del Rosario), Andrés Felipe Mora-Salamanca (0000-0003-1509-0080, Fundación Santa Fe de Bogotá), Jeimy Lorena Moreno-Araque (0000-0001-5959-4876, Fundación Santa Fe de Bogotá)
Year2026
Volume26
Issue1
Publication date2026-03-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Medical Education (JOURNAL)
Journal identifiersISSN: 1472-6920 • E-ISSN: 1472-6920
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s12909-026-08971-9
PMID41792727
OpenAlexW7134133381
LanguageEN
References cited27

BACKGROUND: Chest radiograph (CXR) interpretation remains a fundamental yet challenging skill for undergraduate medical students, requiring both perceptual and integrative reasoning. Near-peer instruction and structured checklists have been proposed to enhance learning, but evidence from randomized designs is limited. METHODS: We conducted a randomized educational trial among final-year medical students (n = 50). All participants attended a two-hour lecture on CXR interpretation delivered by intensive care medicine residents. The intervention group received additional training using a systematic checklist for image analysis. Performance was assessed through a 16-item test (interpretation and diagnosis domains). Nonparametric tests and Spearman correlations were applied; internal consistency and item discrimination were analyzed. RESULTS: Compared with controls, the intervention group achieved higher median scores in interpretation (6 vs. 3), diagnosis (4 vs. 3), and total score (10 vs. 6) (all p < 0.05). Interpretation and diagnosis scores were not correlated (Spearman ρ = 0.12, p = 0.40). Cronbach’s alpha was 0.592, with 56% of items showing excellent discrimination. CONCLUSIONS: A brief, resident-led, checklist-guided session significantly improved CXR interpretation and overall performance. Structuring perceptual search through systematic frameworks can rapidly strengthen diagnostic foundations and represents a feasible, low-cost addition to medical curricula.

Chest radiograph · Clinical trial · MEDLINE · Radiography · Randomized controlled trial · COVID-19 diagnosis using AI · Radiology practices and education · Ultrasound in Clinical Applications

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