Exploring ChatGPT's potential in ECG interpretation and outcome prediction in emergency department.

Journal: The American journal of emergency medicine
Published Date: Nov 14, 2024

Abstract

BACKGROUND: Approximately 20 % of emergency department (ED) visits involve cardiovascular symptoms. While ECGs are crucial for diagnosing serious conditions, interpretation accuracy varies among emergency physicians. Artificial intelligence (AI), such as ChatGPT, could assist in ECG interpretation by enhancing diagnostic precision.

Authors

  • Arian Zaboli
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy. Electronic address: zaboliarian@gmail.com.
  • Francesco Brigo
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
  • Marta Ziller
    Department of Cardiology, Hospital of Bolzano, Bolzano, Italy.
  • Magdalena Massar
    Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy.
  • Marta Parodi
    Department of Internal Medicine, Intermediate Care Unit, Hospital Alto Vicentino (AULSS-7), Santorso, Italy.
  • Gabriele Magnarelli
    Department of Emergency Medicine, Hospital of Merano-Meran (SABES-ASDAA), Merano-Meran, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Salzburg, Austria.
  • Gloria Brigiari
    Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy.
  • Gianni Turcato
    Department of Emergency Medicine, Franz Tappeiner Hospital, Merano, Italy.

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