Artificial intelligence in electrocardiogram signals for sudden cardiac death prediction: a systematic review and meta-analysis
This meta-analysis indicates that AI-based ECG analysis shows potential for SCD prediction. However, the summary estimates are derived from highly heterogeneous studies and should not be considered benchmarks for clinical performance. The current evidence remains preliminary and derived from idealized research settings, underscoring the need for prospective, multicenter studies with standardized methodologies to establish generalizability and clinical applicability.
Authors
- Yuhang Zang (ORCID: https://orcid.org/0000-0003-1110-5062)
- Ning Guanlin
- Shuxin Pang (ORCID: https://orcid.org/0000-0003-0571-5614)
- Meng Zuo
- Na Duan (ORCID: https://orcid.org/0000-0001-5704-7326)
- Ying Wan (ORCID: https://orcid.org/0000-0001-5909-2892)
- Yuchen Wang (ORCID: https://orcid.org/0000-0002-6710-6710)
- Zhao Wang (ORCID: https://orcid.org/0000-0002-2251-5799)
- Bo Luan (ORCID: https://orcid.org/0000-0002-5917-4684)
- Ming Du (ORCID: https://orcid.org/0000-0001-8702-9903)
- Shuang He
Institutions
- Liaoning Provincial People's Hospital (CN)
Publication Details
- Journal
- Systematic Reviews
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1186/s13643-025-03033-5
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00