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Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis

RecruitingN/A

Sponsor: Guang'anmen Hospital of China Academy of Chinese Medical Sciences

Conditions: Rheumatoid Arthritis (RA, Osteoporosis, Osteoarthritis, Interstitial Lung Disease, Thyroid Diseases

Interventions: Generative AI prediction report for RA complications

Countries: China

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 overview

Sex: ALL

Healthy volunteers: No

Study type: OBSERVATIONAL

Eligibility criteria

Inclusion Criteria:

* 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.

Exclusion Criteria:

* Patients subsequently confirmed not to have RA during the study.

Locations (1)

Beijing, Beijing Municipality, China