• Arian Zaboli, Francesco Brigo, Marta Ziller, Magdalena Massar, Marta Parodi, Gabriele Magnarelli, Gloria Brigiari, and Gianni Turcato.
• Innovation, Research and Teaching Service (SABES-ASDAA), Teaching Hospital of the Paracelsus Medical Private University (PMU), Bolzano, Italy. Electronic address: zaboliarian@gmail.com.
• Am J Emerg Med. 2024 Nov 14; 88: 7117-11.

BackgroundApproximately 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.MethodsThis single-center, retrospective observational study, conducted at Merano Hospital's ED, assessed ChatGPT's agreement with cardiologists in interpreting ECGs. The primary outcome was agreement level between ChatGPT and cardiologists. Secondary outcomes included ChatGPT's ability to identify patients at risk for Major Adverse Cardiac Events (MACE).ResultsOf the 128 patients enrolled, ChatGPT showed good agreement with cardiologists on most ECG segments, excluding T wave (kappa = 0.048) and ST segment (kappa = 0.267). Significant discrepancies arose in the assessment of critical cases, as ChatGPT classified more patients as at risk for MACE than were identified by physicians.ConclusionsChatGPT demonstrates moderate accuracy in ECG interpretation, yet its current limitations, especially in assessing critical cases, restrict its clinical utility in ED settings. Future research and technological advancements could enhance AI's reliability, potentially positioning it as a valuable support tool for emergency physicians.Copyright © 2024 Elsevier Inc. All rights reserved.

5 keywords...

hide…