Comment to the article: Machine-learning model for postoperative atrial fibrillation
We read with great interest the study by Akbulut et al. on machine-learning (ML) prediction of postoperative atrial fibrillation (POAF) after isolated CABG. [1]Although the integration of artificial intelligence into peri-operative care is welcome, several methodological issues may overstate the model's reliability and clinical value.
Authors
- Kaan Kırali (ORCID: https://orcid.org/0000-0003-0044-4691)
- Fatih Yiğit (ORCID: https://orcid.org/0000-0003-3876-4834)
- Taylan Adademir (ORCID: https://orcid.org/0000-0003-1643-3751)
Institutions
- Kartal Koşuyolu High Specialization Training and Research Hospital (TR)
Publication Details
- Journal
- Turkish Journal of Thoracic and Cardiovascular Surgery
- Published
- 2025-10-01
- DOI
- https://doi.org/10.5606/tgkdc.dergisi.2025.28291
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00