Deep learning and radiomics-based system for early diagnosis of hip synovitis in juvenile idiopathic arthritis
This study successfully developed a system for the early diagnosis of JIA hip synovitis based on deep learning and radiomics. The system offers an effective and reliable means for early screening, enhancing diagnosis rates, and ultimately reducing the risk of severe joint damage in JIA patients.
Authors
- Yang Gao (ORCID: https://orcid.org/0000-0003-3209-4788)
- Chunjiang Yang
- Daozhen Huang
- Chunmei Yin
- Huan Xiao
- Jun Kou
Institutions
- Children's Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-01-16
- DOI
- https://doi.org/10.3389/fimmu.2025.1689862
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00