A retrospective evaluation of the potential of ChatGPT in the accurate diagnosis of acute stroke.

Journal: Diagnostic and interventional radiology (Ankara, Turkey)
PMID: 39221691

Abstract

PURPOSE: Stroke is a neurological emergency requiring rapid, accurate diagnosis to prevent severe consequences. Early diagnosis is crucial for reducing morbidity and mortality. Artificial intelligence (AI) diagnosis support tools, such as Chat Generative Pre-trained Transformer (ChatGPT), offer rapid diagnostic advantages. This study assesses ChatGPT's accuracy in interpreting diffusion-weighted imaging (DWI) for acute stroke diagnosis.

Authors

  • Beyza Nur Kuzan
    Kartal Dr. Lütfi Kırdar City Hospital, Clinic of Radiology, İstanbul, Türkiye
  • Ismail Mese
    Department of Radiology, Erenkoy Training and Research Hospital for Psychiaty and Neurological Diseases, 19 Mayıs, Sinan Ercan Cd. No:23, Kadıköy, Istanbul, 34736, Turkey. ismail_mese@yahoo.com.
  • Servan Yaşar
    Sancaktepe Şehit Prof. Dr. İlhan Varank Training and Research Hospital, Clinic of Radiology, İstanbul, Türkiye.
  • Taha Yusuf Kuzan
    Department of Radiology, Sancaktepe Sehit Prof. Dr. Ilhan Varank Training and Research Hospital, Istanbul, Turkey.

Keywords

External Resources

Popular Topics
Recent Journals