Automated Arthritis Detection Using Artificial Intelligence on Smartphone Photographs

NCT06715488 | Active Not Recruiting

• 1 other identifier: M2M-ID0001
• Study Type: observational
• Target: 3,000
• Locations: 1 country
• Sites: 2

Brief Summary

The investigators are testing the ability of convolutional neural networks (CNNs), that is artificial intelligence, on smartphone photographs in detecting inflammatory arthritis. This promises to be an efficient, accurate, and non-invasive diagnostic tool that will significantly improve early detection and management of inflammatory arthritis.

Conditions

Rheumatoid Arthritis &Amp; Other Inflammatory Polyarthropathies; Peripheral Spondyloarthritis; Inflammatory Arthritis

Keywords

Artificial intelligence for arthritis diagnosis

Outcome Measures

Primary Outcomes (1)

• Accuracy of AI diagnosis against specialist (rheumatologist) opinion

  Concordance of detection of synovitis by convolutional neural network (binary) with a clinically diagnosed specialist opinion (rheumatologist opinion)

  3 years

Secondary Outcomes (2)

• Accuracy of AI diagnosis against imaging diagnosis on Ultrasound

  3 years

• Sensitivity to change

  3 years

Study Arms (1)

Inflammatory arthritis

Patients with inflammatory arthritis regardless of etiology including rheumatoid arthritis, psoriatic arthritis, systemic lupus erythematosis and viral arthritis

Diagnostic Test: AI assisted smartphone diagnosis

Interventions

AI assisted smartphone diagnosis DIAGNOSTIC_TEST

Patients will examination and clinical photographs for convolutional networks to diagnose inflammatory arthritis

Inflammatory arthritis

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

All patients with inflammatory arthritis. This can include but is not limited to rheumatoid arthritis, lupus, psoriatic arthritis, peripheral spondyloarthritis, viral arthritis.

You may qualify if:

• Inflammatory arthritis of any etiology

You may not qualify if:

• Severe deformity that hampers standardization of photographs

Sponsors & Collaborators

• Med2Measure: lead
• IISER Pune: collaborator

Study Sites (2)

Rheumatology Clinic

Pune, Maharashtra, 411004, India

Location

Poona Superspeciality Clinic

Pune, 411001, India

Location

MeSH Terms

Conditions

Arthritis, Rheumatoid; Arthritis

Condition Hierarchy (Ancestors)

Joint Diseases; Musculoskeletal Diseases; Rheumatic Diseases; Connective Tissue Diseases; Skin and Connective Tissue Diseases; Autoimmune Diseases; Immune System Diseases

Study Officials

• Sanat Phatak, MD, DM

  Med2Measure

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: INDUSTRY
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 28, 2024
• First Posted: December 4, 2024
• Study Start: November 15, 2024
• Primary Completion (Estimated): December 1, 2027
• Study Completion (Estimated): December 1, 2027
• Last Updated: December 24, 2024

Record last verified: 2024-12

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, ICF, CSR
• Time Frame: January 2027-January 2028
• Access Criteria: Researchers with a scientific plan can get in touch with the principal investigator with a brief note.

Locations

IN (2)