Artificial intelligence-enabled electrocardiogram guidance for pulmonary valve replacement timing in repaired tetralogy of Fallot
AI-ECG predicts post-PVR survival in rTOF patients with a PVR survival benefit in intermediate- and high-risk, but not low-risk, groups. AI-ECG may complement imaging biomarkers to determine rTOF PVR timing.
Authors
- Tal Geva (ORCID: https://orcid.org/0000-0002-3538-1865)
- John K. Triedman (ORCID: https://orcid.org/0000-0002-7456-9596)
- Vedang Diwanji
- Lynn A. Sleeper (ORCID: https://orcid.org/0000-0002-8055-768X)
- Anne Marie Valente (ORCID: https://orcid.org/0000-0002-8357-694X)
- Joshua Mayourian (ORCID: https://orcid.org/0000-0002-2364-1260)
- Rachel M. Wald (ORCID: https://orcid.org/0000-0002-2373-6438)
- Alon Geva (ORCID: https://orcid.org/0000-0002-8574-0133)
Institutions
- Boston Children's Hospital (US)
- University Health Network (CA)
- Harvard University (US)
- University of Toronto (CA)
- Center for Pain and the Brain (US)
Publication Details
- Journal
- American Heart Journal
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1016/j.ahj.2025.08.019
- Primary Topic
- Congenital Heart Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00