Comparative Evaluation of Chatbot Responses on Coronary Artery Disease.

Journal: Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir
PMID: 39797456

Abstract

OBJECTIVE: Coronary artery disease (CAD) is the leading cause of morbidity and mortality globally. The growing interest in natural language processing chatbots (NLPCs) has driven their inevitable widespread adoption in healthcare. The purpose of this study was to evaluate the accuracy and reproducibility of responses provided by NLPCs, such as ChatGPT, Gemini, and Bing, to frequently asked questions about CAD.

Authors

  • Levent Pay
    Department of Cardiology, Istanbul Haseki Training and Research Hospital, Istanbul, Türkiye.
  • Ahmet Çağdaş Yumurtaş
    Department of Cardiology, Kars Harakani State Hospital, Kars, Türkiye.
  • Tuğba Çetin
    Department of Cardiology, Dr Siyami Ersek Thoracic and Cardiovascular Surgery Training Hospital, İstanbul, Türkiye.
  • Tufan Çınar
    Department of Cardiology, Haydarpasa Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey.
  • Mert İlker Hayıroğlu
    Department of Cardiology, Haydarpasa Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey. Electronic address: mertilkerh@yahoo.com.

Keywords

External Resources

Popular Topics
Recent Journals