This study aims to evaluate the diagnostic accuracy of AI-assisted imaging analysis in differentiating between inflammatory and degenerative joint diseases in elderly patients. The performance of AI-based analysis will be compared with radiologists' assessments to determine its reliability in clinical practice. In addition, the study will explore imaging features most predictive of each disease type using advanced machine learning techniques. Finally, the feasibility of implementing AI tools in the routine management of geriatric musculoskeletal disorders will be assessed.
Age ≥ 60 years
Clinical suspicion or confirmed diagnosis of inflammatory joint disease (e.g., rheumatoid arthritis, psoriatic arthritis) or degenerative joint disease (e.g., osteoarthritis)
Availability of relevant musculoskeletal imaging (X-rays, MRI, or ultrasound) suitable for AI-based analysis
Ability to provide informed consent or have a legal representative consent on behalf of the
History of recent joint trauma (within the last 6 months) or previous joint surgery affecting the studied sites
Presence of bone or joint malignancy (primary or metastatic)
Diagnosis of overlapping rheumatologic syndromes or mixed pathology (e.g., RA with concurrent gout, or OA with inflammatory overlap)
Inadequate imaging quality or absence of required imaging modalities
Elderly patients (≥60 years) presenting to Assiut University Hospitals with clinical suspicion or diagnosis of musculoskeletal disorders, specifically inflammatory joint diseases (such as rheumatoid arthritis) or degenerative joint diseases (such as osteoarthritis), and who have relevant imaging studies (X-ray, MRI, or ultrasound) available for analysis.
Case-only
Cross-sectional
Not listed
Diagnostic accuracy of AI system
Sensitivity, specificity, and AUC of AI algorithm for differentiating inflammatory from degenerative joint diseases, using imaging data, compared to expert rheumatologist diagnosis
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options:
