The role of artificial intelligence in standardizing global longitudinal strain measurements in echocardiography
Automated GLS analysis enhances efficiency and accuracy in cardiac diagnostics, particularly for novice users. Integration of automated solutions into routine clinical practice could yield more standardized results.
Authors
- Michael Kaliske (ORCID: https://orcid.org/0000-0002-3290-9740)
- Barış Cansız (ORCID: https://orcid.org/0000-0002-7568-1918)
- Axel Linke
- Jens Faßl (ORCID: https://orcid.org/0000-0002-7047-8531)
- Krunoslav Sveric (ORCID: https://orcid.org/0000-0002-0651-7890)
- Zouhir Dindane (ORCID: https://orcid.org/0000-0003-4143-2240)
- Anna Winkler (ORCID: https://orcid.org/0000-0003-2311-6252)
- R Botan
- Ghatafan Alothman
Institutions
- University Hospital Carl Gustav Carus (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- European Heart Journal - Imaging Methods and Practice
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1093/ehjimp/qyae130
- Citations
- 4
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 1.61