Actively Recruiting
Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis
Led by Guang'anmen Hospital of China Academy of Chinese Medical Sciences · Updated on 2025-12-24
100
Participants Needed
1
Research Sites
34 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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 will not qualify if you...
- Patients subsequently confirmed not to have RA during the study.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Guang'anmen Hospital of China Academy of Chinese Medical Sciences
Beijing, Beijing Municipality, China, 100053
Actively Recruiting
Research Team
Q
Quan Jiang Guang'anmen Hospital, China Academy of Chinese Medical Science
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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