Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis

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.

NCT Number	NCT07301892
Lead Sponsor	Guang'anmen Hospital of China Academy of Chinese Medical Sciences
Conditions	Rheumatoid Arthritis (RA, Osteoporosis, Osteoarthritis, Interstitial Lung Disease, Thyroid Diseases, Cardiovascular Diseases, Pulmonary Complications, Sjogren's Syndrome +7 more
Enrollment	100 participants
Start Date	2025-10-01
Primary Completion	2026-02 (estimated)
Study Completion	2026-06 (estimated)
Updated on ClinicalTrials.gov	2025-12-24