Automated Arthritis Detection Using Artificial Intelligence on Smartphone Photographs

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Planned participants: 3000
• From 15 Nov 2024 to the primary completion date, 31 Dec 2027
• 2 sites in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Accepts healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (2)

Sites in registry order. Pick your city on the disease page to sort them by distance.

Related publications

• Detecting inflammatory arthritis in hand smartphone photographs: development and validation of a computer vision model in clinical settings.Rheumatology (Oxford) · 2026 · PMID 42226010