Echocardiographic Diagnosis of Hypertrophic Cardiomyopathy by Machine Learning
Machine learning tools that analyze echocardiographic metrics identified HCM cases with high performance. Detection of HCM cases improved when strain data was combined with standard echocardiographic metrics.
Authors
- Jeffrey Benjamin Geske (ORCID: https://orcid.org/0000-0003-1671-4262)
- Bruce K. Daniels
- April L. Zacher
- Eduard Schlechtinger
- Garvan C. Kane (ORCID: https://orcid.org/0000-0002-4308-6356)
- Steve R. Ommen (ORCID: https://orcid.org/0000-0002-9410-0920)
- Patricia A. Pellikka (ORCID: https://orcid.org/0000-0001-6800-3521)
- Nasibeh Zanjirani Farahani (ORCID: https://orcid.org/0000-0001-7329-2161)
- Moein Enayati (ORCID: https://orcid.org/0000-0001-7391-774X)
- Mateo Alzate Aguirre (ORCID: https://orcid.org/0000-0003-1129-238X)
- Andredi Pumarejo Medina
- Michael John Ackerman (ORCID: https://orcid.org/0000-0002-8011-3333)
- J. Martijn Bos (ORCID: https://orcid.org/0000-0002-3635-2003)
- Kalyan S. Pasupathy (ORCID: https://orcid.org/0000-0002-4760-2805)
- Adelaide M. Arruda‐Olson (ORCID: https://orcid.org/0000-0001-9541-9899)
- Vinod C. Kaggal (ORCID: https://orcid.org/0000-0003-0944-2211)
- Kathryn F. Larson (ORCID: https://orcid.org/0000-0003-2565-3318)
- Jae K. Oh (ORCID: https://orcid.org/0000-0002-8303-5780)
- Christopher G. Scott (ORCID: https://orcid.org/0000-0003-1340-0647)
- Vanessa Karlinski Vizentin (ORCID: https://orcid.org/0009-0005-4332-8465)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1016/j.mcpdig.2024.08.009
- Citations
- 2
- Primary Topic
- Cardiomyopathy and Myosin Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- National Science Foundation
- Cytokinetics
- National Institutes of Health
- Agency for Healthcare Research and Quality
- National Center for Advancing Translational Sciences