Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study
Internal institutional funds provided by the Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Authors
- Sorin V. Pislaru (ORCID: https://orcid.org/0000-0002-5256-3150)
- Francisco López-Jiménez (ORCID: https://orcid.org/0000-0001-5788-9734)
- Jeffrey G. Malins (ORCID: https://orcid.org/0000-0002-2932-256X)
- Behrouz Rostami (ORCID: https://orcid.org/0000-0002-1091-0388)
- Garvan C. Kane (ORCID: https://orcid.org/0000-0002-4308-6356)
- Dan Spiegelstein
- Paul A. Friedman (ORCID: https://orcid.org/0000-0001-5052-2948)
- Patricia A. Pellikka (ORCID: https://orcid.org/0000-0001-6800-3521)
- Thierry Amar
- Jeremy J. Thaden (ORCID: https://orcid.org/0000-0003-4489-2349)
- Jwan A. Naser (ORCID: https://orcid.org/0000-0002-6210-7669)
- DM Anisuzzaman (ORCID: https://orcid.org/0000-0001-8068-2571)
- Zachi Itzhak Attia (ORCID: https://orcid.org/0000-0002-9706-7900)
- John I. Jackson
- Jae K. Oh (ORCID: https://orcid.org/0000-0002-8303-5780)
- Jared Bird
- Eunjung Lee (ORCID: https://orcid.org/0000-0002-6476-9527)
Institutions
- Mayo Clinic (US)
- Applied Materials (Israel) (IL)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- The Lancet Digital Health
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1016/j.landig.2025.02.003
- Citations
- 6
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 12.04