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
- Adam M. Ostrovsky
Institutions
- Thomas Jefferson University (US)
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