Comparison of AI applications and anesthesiologist's anesthesia method choices.

Journal: BMC anesthesiology
PMID: 39754097

Abstract

BACKGROUND: In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the present study is to evaluate the ability of AI to make decisions regarding anesthesia methods and to compare the most popular AI programs from this perspective.

Authors

  • Enes Çelik
    Department of Anesthesiology and Reanimation, Mardin Artuklu University School of Medicine, Diyarbakır Road, Artuklu, Mardin, 47100, Turkey. enescelik@artuklu.edu.tr.
  • Mehmet Ali Turgut
    Mardin Training and Research Hospital, Anesthesia Clinic, Mardin, Turkey.
  • Mesut Aydoğan
    Private Baglar Hospital, Anesthesia Clinic, Diyarbakir, Turkey.
  • Metin Kılınç
    Department of Anesthesiology and Reanimation, Mardin Artuklu University School of Medicine, Diyarbakır Road, Artuklu, Mardin, 47100, Turkey.
  • İzzettin Toktaş
    Department of Public Health, Faculty of Medicine, Mardin Artuklu University, Mardin, Turkey.
  • Hakan Akelma
    Department of Anesthesiology and Reanimation, Mardin Artuklu University School of Medicine, Diyarbakır Road, Artuklu, Mardin, 47100, Turkey.

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