Illuminating Research Dynamics: Medical Ultrasound and Deep Learning
This mapping highlights a rapidly growing, internationally collaborative field. Emerging trends include advanced artificial intelligence (AI) architectures (U-Net, attention-based networks, vision Transformers) and a shift toward surgical and therapeutic applications. These insights underscore the need for multicenter validation, standardized data protocols, and clinically interpretable AI models to accelerate safe translation into practice.
Authors
- Jing Zhou (ORCID: https://orcid.org/0000-0002-2475-7783)
- Hui Qin (ORCID: https://orcid.org/0000-0002-6369-7488)
- Qian Peng Han
- Yue Zhang (ORCID: https://orcid.org/0000-0002-6853-5162)
- Ying Sun (ORCID: https://orcid.org/0009-0006-8293-6241)
Institutions
- Wuhan University (CN)
- Wuhan Sports University (CN)
Publication Details
- Journal
- Journal of Clinical Ultrasound
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1002/jcu.70131
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00