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Development and application of artificial intelligent aided recognition and diagnosis system for arthritis based on multi-modal imaging technology

Development and application of artificial intelligent aided recognition and diagnosis system for arthritis based on multi-modal imaging technology

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300076519
Enrollment
Unknown
Registered
2023-10-11
Start date
2023-10-31
Completion date
Unknown
Last updated
2023-10-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Arthritis

Interventions

Gold Standard:ultrasonic diagnosis
Index test:1.Sensitivity and specificity of the hand arthritis recognition model
2.Sensitivity and specificity of artificial intelligence diagnosis model for hand arthritis
3.The difference in the time it takes to identify arthritic hand models and to diagnose arthritis by specialists
4.Sensitivity and specificity of expert diagnosis of arthritis.

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 18-80 years old, either gender; The clinician found arthritis in at least one of the hand joint by physical examination; Complied with the rheumatoid arthritis classification criteria established by the American College of Rheumatology (ACR)/European League against Rheumatism (EULAR) in 2010; or complied with the psoriasis classification criteria established by the International Psoriatic Arthritis Classification Research Group (CASPAR) in 2006; or complied with the osteoarthritis classification criteria established by the American College of Rheumatology (ACR) in 1990; presence of hand arthritis that does not meet the above classification criteria is classified as undifferentiated arthritis; Good compliance and sign informed consent.

Exclusion criteria

Exclusion criteria: Local trauma to either hand; Active infection is present in either hand; Either hand is now partially bandaged; Other conditions that affect the acquisition of local thermal imaging information of either hand (such as local makeup); Hand optical photographs, thermal images, joint ultrasound, hematology (erythrocyte sedimentation rate, C-reactive protein, etc.) results are incomplete.

Design outcomes

Primary

MeasureTime frame
The difference in the time it takes to identify arthritic hand models and to diagnose arthritis by specialists;Sensitivity and specificity of the hand arthritis recognition model;Sensitivity and specificity of expert diagnosis of arthritis;Sensitivity and specificity of artificial intelligence diagnosis model for hand arthritis;

Countries

China

Contacts

Public ContactYongjing Cheng

Beijing Hospital

chengyongjing3427@bjhmoh.cn+86 10 8513 6736

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026