Artificial intelligence–enhanced electrocardiography and sudden death risk factors in cardiac arrest survivors diagnosed with hypertrophic cardiomyopathy
Among patients with SCA who were then newly diagnosed with HCM, conventional SCD risk factors were common but not universal in this post hoc assessment. AI-ECG may facilitate the early detection of HCM.
Authors
- Jeffrey Benjamin Geske (ORCID: https://orcid.org/0000-0003-1671-4262)
- Shahid Karim (ORCID: https://orcid.org/0000-0003-0109-5809)
- Konstantinos C. Siontis (ORCID: https://orcid.org/0000-0002-6658-0971)
- Paul A. Friedman (ORCID: https://orcid.org/0000-0001-5052-2948)
- John Giudicessi
- Steve R. Ommen (ORCID: https://orcid.org/0000-0002-9410-0920)
- Darrell Brian Newman (ORCID: https://orcid.org/0000-0003-4583-8475)
- Peter A. Noseworthy (ORCID: https://orcid.org/0000-0002-4308-0456)
- J Martijn Bos
- Zachi Itzhak Attia (ORCID: https://orcid.org/0000-0002-9706-7900)
- Michael John Ackerman (ORCID: https://orcid.org/0000-0002-8011-3333)
- Adelaide M. Arruda‐Olson (ORCID: https://orcid.org/0000-0001-9541-9899)
- William H Swain (ORCID: https://orcid.org/0000-0002-8780-0195)
Institutions
- Mayo Clinic (US)
- WinnMed (US)
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.hroo.2025.08.040
- Primary Topic
- Cardiovascular Effects of Exercise
- Type
- article
- Field-Weighted Citation Impact
- 0.00