@article{article_1530324, title={The Potential Role of GPT-4o in Interpreting Chest Computed Tomography for Thoracic Emergencies}, journal={Turkish Journal of Clinics and Laboratory}, volume={16}, pages={236–237}, year={2025}, DOI={10.18663/tjcl.1530324}, author={Beşler, Muhammed Said}, keywords={artificial intelligence, thorax, multidetector computed tomography}, abstract={This study evaluated GPT-4o’s performance in interpreting chest CT images for thoracic emergencies. In July 2024, open-access medical images were analyzed by GPT-4o via chatgpt.com with a query to identify and describe abnormalities, specifying the type and plane of imaging. GPT-4o consistently identified the imaging type and plane correctly. For instance, it accurately detected a right-sided pneumothorax with mediastinal shift, and a significant right pleural effusion with a smaller left effusion, although it misidentified minimal bilateral pneumothorax. It correctly identified pericardial effusion in the coronal plane in a cardiac tamponade case but failed to identify a saddle pulmonary embolism. While GPT-4o shows potential for diagnosing chest CT images in thoracic emergencies, it may still miss major abnormalities. Future large-scale studies should evaluate both common and rare pathologies using large language models.}, number={1}, publisher={DNT Ortadoğu Yayıncılık A.Ş.}