Generative AI Impact on Rheumatoid Arthritis Complications Diagnosis

Sponsor
Guang'anmen Hospital of China Academy of Chinese Medical Sciences
Study ID
NCT07301892
Status
Recruiting
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Conditions

  • Amyloidosis
  • Cardiovascular Diseases
  • Interstitial Lung Disease
  • Liver Disorders
  • Osteoarthritis
  • Osteoporosis
  • Peripheral Neuropathy
  • Pulmonary Complications
  • RA Complications
  • Renal Lesions
  • Rheumatoid Arthritis (RA
  • Sjogren's Syndrome
  • Thrombosis
  • Thyroid Diseases
  • Vasculitis

Eligibility Criteria

Sex
ALL
Age
N/A - N/A
Healthy Volunteers
Not accepted

Interventions

  • Generative AI prediction report for RA complications — OTHER
    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.

Study Details

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.

Key Dates

Start date
Oct 1, 2025
Status verified
Dec 2025
Primary completion
Feb 28, 2026
Completion
Jun 30, 2026

Study Design

Enrollment
100 participants (estimated)

Arms

  • Arm: RA patient group using generative AI prediction reports
    Inpatients newly diagnosed with rheumatoid arthritis in our rheumatology department between October 1, 2025, and June 2026 will be recruited for the study. Physicians will use GenAI predictions of potential RA complications and co-existing diseases, together with confirmatory diagnostic tests, as additional inputs in the differential diagnosis process.

Primary Outcome Measure

Will physicians adopt GenAI predictions in diagnosing RA complications? [ Time Frame: Immediately after reviewing patient AI report on the day of admission. ]

Central Contacts

  • Quan Jiang Guang'anmen Hospital, China Academy of Chinese Medical Science
    010-88001942
    [email protected]

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