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Can artificial intelligence identify joint swellings from photographs of the hand in patients with inflammatory arthritis?

Artificial intelligence to detect synovitis from clinical photographs of hand in patients with inflammatory arthritis: formation of image database

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2020/08/027129
Enrollment
400
Registered
2020-08-13
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

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

Conditions

Health Condition 1: M12- Other and unspecified arthropathy Health Condition 2: M06- Other rheumatoid arthritis Health Condition 3: M35- Other systemic involvement of connective tissue Health Condition 4: M05- Rheumatoid arthritis with rheumatoid factor Health Condition 5: M32- Systemic lupus erythematosus (SLE)

Interventions

Intervention1: NIL: NIL Control Intervention1: NIL: NIL

Sponsors

KEM Hospital Research Centre
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Early inflammatory arthritis (less than 1 year duration) Clinical diagnosis can include rheumatoid arthritis, systemic lupus erythematosus, sjogrenâ??s syndrome.

Exclusion criteria

Exclusion criteria: Patients with obvious deformities of hand joints, co-existent generalized osteoarthritis (with distal inter-phalangeal joint involvement) and systemic sclerosis related arthritis.

Design outcomes

Primary

MeasureTime frame
Presence of synovitis as classified by convolutional neural networkTimepoint: At baseline—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactSanat Phatak

KEM Hospital Research centre

sanatphatak@gmail.com9823066927

Outcome results

None listed

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