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AI-Based Medical Data Analysis for Differentiating Inflammatory vs Degenerative Joint Diseases in Elderly Patients

Not Yet RecruitingN/A

Sponsor: Assiut University

Conditions: Arthritis, Rheumatoid (RA)

Countries: Egypt

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.

Eligibility overview

Sex: ALL

Age: 60 Years to —

Healthy volunteers: No

Study type: OBSERVATIONAL

Eligibility criteria

Inclusion criteria :

1. Age ≥ 60 years
2. Clinical suspicion or confirmed diagnosis of inflammatory joint disease (e.g., rheumatoid arthritis, psoriatic arthritis) or degenerative joint disease (e.g., osteoarthritis)
3. Availability of relevant musculoskeletal imaging (X-rays, MRI, or ultrasound) suitable for AI-based analysis
4. Ability to provide informed consent or have a legal representative consent on behalf of the

Exclusion criteria:

1. History of recent joint trauma (within the last 6 months) or previous joint surgery affecting the studied sites
2. Presence of bone or joint malignancy (primary or metastatic)
3. Diagnosis of overlapping rheumatologic syndromes or mixed pathology (e.g., RA with concurrent gout, or OA with inflammatory overlap)
4. Inadequate imaging quality or absence of required imaging modalities
5. Inability or unwillingness to provide informedconsent

Locations (1)

Asyut, Egypt