Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions

ChatGPT demonstrates potential as a supplementary tool for differentiating normal from abnormal chest X-rays, with promising results for certain pathologies like pneumonia. However, its diagnostic accuracy for more subtle conditions requires improvement. Further research integrating ChatGPT with specialized image recognition models could enhance its performance, offering new possibilities in medical imaging and education.

Authors

Institutions

Publication Details

Journal
The American Journal of Emergency Medicine
Published
2025-03-30
DOI
https://doi.org/10.1016/j.ajem.2025.03.060
Citations
10
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
13.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions

Adam M. Ostrovsky
10 citations
The American Journal of Emergency Medicine
COVID-19 diagnosis using AI
13.60
article

Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions

Adam M. Ostrovsky
article en
10 citations

Abstract

ChatGPT demonstrates potential as a supplementary tool for differentiating normal from abnormal chest X-rays, with promising results for certain pathologies like pneumonia. However, its diagnostic accuracy for more subtle conditions requires improvement. Further research integrating ChatGPT with specialized image recognition models could enhance its performance, offering new possibilities in medical imaging and education.

The American Journal of Emergency MedicineVol. 93
Thomas Jefferson University (US)
Quality Education
Openalex Percentile: Top 1%
COVID-19 diagnosis using AI
13.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluating a large language model's accuracy in chest X-ray interpretation for acute thoracic conditions — Adam M. Ostrovsky · The American Journal of Emergency Medicine (2025) | TGRS Research Map | TGRS