Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis

Recruiting now

Conditions studied: Rheumatoid Arthritis (RA, Osteoporosis, Osteoarthritis, Interstitial Lung Disease, Thyroid Diseases, Cardiovascular Diseases, Pulmonary Complications, Sjogren's Syndrome, Liver Disorders, Renal Lesions, Vasculitis, Amyloidosis, Peripheral Neuropathy, Thrombosis, RA Complications

In brief

Generative AI (GenAI) based on large language models (LLMs) is expected to improve the diagnosis and treatment of autoimmune diseases. We are studying how GenAI may affect the diagnosis of various complications of rheumatoid arthritis (RA). In a retrospective study using RA patients' EHR records, we will quantify physician adoption of GenAI predictions for RA complications and co-existing diseases. In a prospective observational study, we will assess the feasibility of using GenAI predictions as additional clinical information to help physicians make more complete diagnoses of RA complications and co-existing diseases, including complex, uncommon, or rare conditions.

Key facts

Study ID

NCT07301892

Run by

Guang'anmen Hospital of China Academy of Chinese Medical Sciences

People needed

100

Starts

2025-10-01

Expected to finish

2026-06-01

Last updated by the study team

2025-12-24

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients with an initial diagnosis of rheumatoid arthritis (RA).
• All real-world RA inpatients admitted to our department.
• Admission occurring within the real-world data study period.

You may not qualify if…

• Patients subsequently confirmed not to have RA during the study.

Where it is running

• Guang'anmen Hospital of China Academy of Chinese Medical Sciences — Beijing, Beijing Municipality, China (enrolling)

Full record on ClinicalTrials.gov

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