AI Imaging Tool to Tell Inflammatory From Degenerative Joint Disease in Older Adults
Tests AI image analysis to tell two kinds of joint disease apart.
Plain-language title generated from the registry record
Registry title: AI-Based Medical Data Analysis for Differentiating Inflammatory vs Degenerative Joint Diseases in Elderly Patients
Key facts
- Where
- Asyut, EgyptSee the site
Where in Egypt
- Assiut University hospitalAsyut, EgyptNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Assiut University
- Trial code
- NCT07153315
- Record updated
- 3 September 2025
- Original description
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.Read full original descriptionShow less
Artificial Intelligence-Enhanced Medical Data Analysis for Differentiating Inflammatory and Degenerative Joint Diseases and Detecting of Disease Severity in Elderly Patient
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.
Inclusion: 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.
Exclusion: History of recent joint trauma (within the last 6 months) or previous joint surgery affecting the studied sites; Diagnosis of overlapping rheumatologic syndromes or mixed pathology (e.g., RA with concurrent gout, or OA with inflammatory overlap); Presence of bone or joint malignancy (primary or metastatic); Inadequate imaging quality or absence of required imaging modalities; Inability or unwillingness to provide informedconsent.