Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.

Journal: Expert review of respiratory medicine
PMID: 40012496

Abstract

BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea. However, its interpretation requires expertise that is often not available. We aim to evaluate the utility of ChatGPT (GPT) in interpreting CPET results.

Authors

  • Eyal Kleinhendler
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Avital Pinkhasov
    Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel.
  • Samah Hayek
    Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel.
  • Avraham Man
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Ophir Freund
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Tal Moshe Perluk
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Evgeni Gershman
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Avraham Unterman
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Gil Fire
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.
  • Amir Bar-Shai
    Division of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center, Tel Aviv, Israel.

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