Fully Automatic AI-Based Quantification of LV Mass in Echocardiography
AI echocardiography provides superior accuracy, diagnostic performance, and reproducibility for LV mass assessment compared with expert evaluation, supporting its clinical integration to improve standardization in cardiac imaging.
Authors
- Michael Kaliske (ORCID: https://orcid.org/0000-0002-3290-9740)
- Barış Cansız (ORCID: https://orcid.org/0000-0002-7568-1918)
- Axel Linke
- Stefanie Jellinghaus
- F. Niklas Schietzold (ORCID: https://orcid.org/0000-0002-1304-7997)
- Krunoslav Sveric (ORCID: https://orcid.org/0000-0002-0651-7890)
- Stephan Haußig
- Ivan Platzek (ORCID: https://orcid.org/0000-0002-5933-8108)
- R Botan
- Ralf-Thorsten Hoffmann
Institutions
- University Hospital Carl Gustav Carus (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- JACC. Cardiovascular imaging
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1016/j.jcmg.2025.09.014
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00