Trials / Recruiting
RecruitingNCT07301892
Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis
Impact of Generative Artificial Intelligence on Diagnosing Rheumatoid Arthritis Complications
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 100 (estimated)
- Sponsor
- Guang'anmen Hospital of China Academy of Chinese Medical Sciences · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
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
- 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
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Generative AI prediction report for RA complications | Generative AI based on multiple large language models (LLMs) is used to predict potential complications and co-existing diseases in patients with rheumatoid arthritis using EHR data available at admission. Physicians use these AI predictions as additional information to adjust their diagnostic plans during differential diagnosis. The impact of this intervention on the final diagnoses at discharge will be measured. Before the prospective study, the adoptability of the generative AI prediction reports will be validated using EHR records from retrospective RA patients. |
Timeline
- Start date
- 2025-10-01
- Primary completion
- 2026-02-01
- Completion
- 2026-06-01
- First posted
- 2025-12-24
- Last updated
- 2025-12-24
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07301892. Inclusion in this directory is not an endorsement.