Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis

ConditionsRheumatoid 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

Trial statusRecruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

AgeNot listed

SponsorGuang'anmen Hospital of China Academy of Chinese Medical Sciences

About this trial

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.

Eligibility criteria

Qualifiers

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.

Disqualifiers

Patients subsequently confirmed not to have RA during the study.

Trial design

Treatments tested in this trial

Generative AI prediction report for RA complications

Treatment groups

100 Participants

are divided into 1 treatment group

Sponsors and collaborators

Guang'anmen Hospital of China Academy of Chinese Medical Sciences

Lead sponsor

Source ClinicalTrials.gov