AI steps in to catch complications rheumatoid arthritis patients often miss

NCT ID NCT07301892

Recruiting now Diagnosis Sponsor: Guang'anmen Hospital of China Academy of Chinese Medical Sciences Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether a generative AI tool can help doctors diagnose complications and co-existing diseases in people with rheumatoid arthritis. The AI reviews patient records and suggests possible issues like lung or heart problems. Doctors then decide if the AI's suggestions are useful. The goal is to see if AI can improve diagnosis without replacing the doctor's judgment.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Generative AI prediction report
What this could lead to: If successful, this AI tool could help doctors catch hidden complications of rheumatoid arthritis earlier, leading to more complete diagnoses.
What could go wrong: This is an early feasibility study with only 100 participants. The AI predictions may not always be accurate or useful in real-world settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

amyloidosis cardiovascular disorder Digestive System Diseases interstitial lung disease kidney disorder liver disorder osteoarthritis osteoporosis peripheral nervous system disorder peripheral neuropathy rheumatoid arthritis Sjogren syndrome thrombotic disease thyroid gland disorder vasculitis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

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

Contacts and locations

Locations

Guang'anmen Hospital of China Academy of Chinese Medical Sciences
RECRUITING

Beijing, Beijing Municipality, 100053, China

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