Automated three-dimensional left atrial analysis on computed tomography angiography: reproducibility and workflow efficiency of eight clinically relevant metrics using a deep learning pipeline
The proposed pipeline enables rapid, reproducible, and expert-level quantification of eight LA metrics on CTA, demonstrating technical feasibility for clinical integration pending prospective validation of procedural impact.
Authors
- Youqi Fan (ORCID: https://orcid.org/0000-0003-4386-1305)
- Liuguang Song
- Ping Wang (ORCID: https://orcid.org/0000-0001-6474-2722)
- Xiaoya Wang (ORCID: https://orcid.org/0000-0002-7500-2428)
- Jian Ye
Institutions
- Netherlands Heart Registration (NL)
- Second Affiliated Hospital of Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2026-01-15
- DOI
- https://doi.org/10.3389/fbioe.2025.1697542
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00