Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts
We have successfully constructed and evaluated an interpretable radiomics-based machine learning model that could distinguish between OA and ONFH. This method has the ability to aid both junior and senior medical professionals to precisely diagnose and take prompt treatment measures.
Authors
- Jiechen Chen
- Jidong Song
- X. P. Qin (ORCID: https://orcid.org/0009-0008-1456-0718)
- Tariq Alkhatatbeh (ORCID: https://orcid.org/0000-0002-3835-8863)
- Wei Wang (ORCID: https://orcid.org/0000-0001-8487-444X)
- Qin Guo (ORCID: https://orcid.org/0000-0003-3545-7222)
- Ahmad Alkhatatbeh
Institutions
- Shantou University (CN)
- First Affiliated Hospital of Shantou University Medical College (CN)
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/fimmu.2025.1532248
- Citations
- 7
- Primary Topic
- Bone and Joint Diseases
- Type
- article
- Field-Weighted Citation Impact
- 12.05
Funders
- National Natural Science Foundation of China