The most common errors in automatic ECG interpretation
In conclusion, we support the statement that relying on the automatic ECG analysis may lead to misinterpretations, which may mislead the medical staff. Automatic analysis of ECG may contain valuable data, although it requires verification and additional knowledge of electrocardiography in every case to achieve a correct and complete interpretation. Results of our studies should increase the caution among clinicians not to rely fully on the automated analysis. Future perspectives should include the application of AI in algorithms used in ECG analysis by manufacturers and paying more attention to accessing proper feedback from clinicians to device manufacturers.
Authors
- Karolina Mikołajczak
- Małgorzata Poręba (ORCID: https://orcid.org/0000-0002-4868-3088)
- Adrian Martuszewski (ORCID: https://orcid.org/0000-0002-3620-6380)
- Rafał Poręba (ORCID: https://orcid.org/0000-0002-7217-7070)
- Paweł Gać (ORCID: https://orcid.org/0000-0001-8366-0239)
- Krzysztof Kraik (ORCID: https://orcid.org/0009-0002-0987-4225)
- Irena Anna Dykiert (ORCID: https://orcid.org/0000-0003-3262-8567)
- Joanna Niewiadomska
- Marta Ziemer-Szymańska
- Mikołaj Kreń
- Piotr Kukiełka
- Tomasz Harych
Institutions
- University of Wrocław (PL)
- Wroclaw Medical University (PL)
- Wyższa Szkoła Zarządzania i Przedsiębiorczości (PL)
- Wroclaw University of Health and Sport Sciences (PL)
- Centralsjukhuset Kristianstad (SE)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-05-22
- DOI
- https://doi.org/10.3389/fphys.2025.1590170
- Citations
- 8
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 11.11