The first institutional survey on implementing an artificial intelligence application for ECG diagnostics: integration across medical specialties in routine clinical practice

Acta cardiologica. Supplementum 2026

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Authors: Claudiu Ungureanu, Adrien Jossart, Réza Dadkhah, Elias Bentakhou, Marc Blaimont, Jean-Christophe Reiters, Quentin Trefois, Marouane Boukhris
DOI: 10.1080/00015385.2025.2611607
Cited by: 3
References: 19

Abstract

Artificial intelligence (AI) is transforming the medical landscape, offering unprecedented advancements in diagnostic precision, treatment planning, and decision-making across various specialties. However, its adoption also raises complex questions, particularly when AI-generated recommendations conflict with human expertise. This article explores through an institutional survey the challenges faced by physicians when introducing a unique AI application for the interpretation of the ECG across several medical specialties.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education ECG Monitoring and Analysis Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Acta cardiologica. Supplementum
Publisher
Informa UK Limited
Volume
81
Issue
1
Pages
113–121
Publication date
2 January 2026
Language
EN