The Current Landscape of Artificial Intelligence in Imaging for Transcatheter Aortic Valve Replacement
AI has the potential to significantly enhance the planning, execution, and post-procedural follow up of TAVR. While AI tools are promising, the irreplaceable value of nuanced clinical judgment by skilled physician teams must not be overlooked. With continued research, collaboration, and careful implementation, AI can become an integral part in imaging for TAVR, ultimately improving patient care and outcomes.
Authors
- Shawn X. Sun (ORCID: https://orcid.org/0000-0002-7949-2145)
- Arash Kheradvar (ORCID: https://orcid.org/0000-0003-3864-1359)
- Amir Imanzadeh
- Soheil Kooraki
- Arash Bedayat (ORCID: https://orcid.org/0000-0001-8769-0224)
- Leslie Yeh
Institutions
- University of California, Los Angeles (US)
- Anaheim University (US)
- University of California, Irvine (US)
- University of California, Irvine Medical Center (US)
Publication Details
- Journal
- Current Radiology Reports
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1007/s40134-024-00431-w
- Citations
- 6
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.41