The first institutional survey on implementing an artificial intelligence application for ECG diagnostics: integration across medical specialties in routine clinical practice
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.
Authors
- Claudiu Ungureanu (ORCID: https://orcid.org/0000-0002-1583-5882)
- Adrien Jossart (ORCID: https://orcid.org/0009-0003-0880-0491)
- Quentin Trefois
- Marc Blaimont
- Marouane Boukhris (ORCID: https://orcid.org/0000-0002-8645-6513)
- Elias Bentakhou
- Réza Dadkhah
- Jean-Christophe Reiters
Institutions
- Ospedale di Rivoli (IT)
- Hôpital de Jolimont (BE)
- Centre Hospitalier Universitaire de Saint-Étienne (FR)
Publication Details
- Journal
- Acta cardiologica. Supplementum
- Published
- 2026-01-02
- DOI
- https://doi.org/10.1080/00015385.2025.2611607
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 53.11