AI steps in to catch complications rheumatoid arthritis patients often miss
NCT ID NCT07301892
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.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Guang'anmen Hospital of China Academy of Chinese Medical Sciences
RECRUITINGBeijing, Beijing Municipality, 100053, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact