Early diagnosis of sepsis-associated AKI: based on destruction-replenishment contrast-enhanced ultrasonography
By combining deep learning and ultrasound radiomics, a deep learning ultrasound radiomics model with outstanding predictive efficiency and robustness has demonstrated excellent capability in the early prediction of acute kidney injury (SA-AKI).
Authors
- Yang Song (ORCID: https://orcid.org/0000-0002-6248-8086)
- Xin Li (ORCID: https://orcid.org/0000-0001-5154-2115)
- Huiyu Ge (ORCID: https://orcid.org/0000-0002-8969-0903)
- Ling Li (ORCID: https://orcid.org/0009-0009-6804-8143)
- Zexing Yu
- Xue Shi
Institutions
- Capital Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-03-25
- DOI
- https://doi.org/10.3389/fmed.2025.1563153
- Citations
- 1
- Primary Topic
- Ultrasound in Clinical Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.55