Deep learning-assisted aortic stenosis detection and grading based on multiview versus single-view echocardiography
The proposed DL algorithm has the potential to automate and enhance the efficiency of clinical workflows for AS screening and grading in echocardiography.
Authors
- Kunlun He (ORCID: https://orcid.org/0000-0002-3335-5700)
- Peifang Zhang
- Yufei Gao (ORCID: https://orcid.org/0000-0003-1200-559X)
- Xixiang Lin (ORCID: https://orcid.org/0000-0003-3213-1534)
- Qiushuang Wang (ORCID: https://orcid.org/0000-0002-3975-3048)
- Xin Li (ORCID: https://orcid.org/0000-0002-8135-9482)
- Liwei Zhang (ORCID: https://orcid.org/0000-0002-7674-9566)
- Feifei Yang (ORCID: https://orcid.org/0000-0002-7925-434X)
- Chen Xu (ORCID: https://orcid.org/0009-0004-7158-5402)
- Yongming Zhang (ORCID: https://orcid.org/0000-0002-7312-2397)
- Meiqing Zhang (ORCID: https://orcid.org/0000-0002-5006-1915)
- Bohan Liu (ORCID: https://orcid.org/0000-0002-4810-8374)
- Baoquan Wang (ORCID: https://orcid.org/0009-0003-6322-612X)
Institutions
- Chinese PLA General Hospital (CN)
- Third Affiliated Hospital of Southern Medical University (CN)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-10-21
- DOI
- https://doi.org/10.21037/qims-2025-415
- Citations
- 1
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39