Development of a deep learning model for automated diagnosis of neuromuscular diseases using ultrasound imaging
NMD-AssistNet demonstrates strong diagnostic capability, computational efficiency, and model interpretability and offers a promising solution for real-time, automated NMD screening. This framework has the potential to be deployed in portable ultrasound systems or edge AI devices to assist clinicians in both hospital and community healthcare settings.
Authors
- Zhengwen Zhang (ORCID: https://orcid.org/0000-0002-1561-0923)
- Jingyi Xie (ORCID: https://orcid.org/0009-0009-1974-1945)
Institutions
- Zhejiang A & F University (CN)
- Agriculture and Forestry University (NP)
- Central China Normal University (CN)
- Zhejiang Academy of Forestry (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-09-10
- DOI
- https://doi.org/10.3389/fneur.2025.1640428
- Citations
- 1
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.81