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Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis

StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated December 24, 2025 (before its estimated February 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07301892
Lead Sponsor Guang'anmen Hospital of China Academy of Chinese Medical Sciences
Conditions
(from sponsor)		 Rheumatoid Arthritis (RA, Osteoporosis, Osteoarthritis, Interstitial Lung Disease, Thyroid Diseases, Cardiovascular Diseases, Pulmonary Complications, Sjogren's Syndrome +7 more
Related terms Amyloidosis, Arthritis, Rheumatoid, Cardiovascular Diseases, Digestive System Diseases, Lung Diseases, Interstitial, Osteoarthritis, Osteoporosis, Peripheral Nervous System Diseases, Sjogren's Syndrome, Thrombosis, Thyroid Diseases, Vasculitis
Enrollment 100 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov