AI could shorten the long road to a rare disease diagnosis
NCT ID NCT07650799
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This trial tests whether a special AI system can help doctors diagnose rare diseases more accurately and efficiently. About 1,000 people with suspected rare or hard-to-diagnose conditions will take part. Before seeing the doctor, the AI will gather the patient's medical history and suggest possible diagnoses for the physician to review. The goal is to see if this AI assistance improves diagnostic quality and reduces the time and cost of finding the right diagnosis.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI diagnostic system
What this could lead to
If successful, this AI tool could help doctors identify rare diseases faster and more accurately, reducing the long diagnostic journey many patients face.
What could go wrong
This is a single trial testing an AI system in a specific setting; results may not apply broadly, and the AI may not outperform standard care or may miss diagnoses.
Disclaimer
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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.
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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Cangzhou Central Hospital
Cangzhou, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Changchun Sacred Heart Hospital
Changchun, China
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Dongguan People's Hospital
Dongguan, China
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First People's Hospital of Foshan
Foshan, China
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Guizhou Provincial People's Hospital
Guiyang, China
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Jilin Central General Hospital
Jilin City, China
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Peking Union Medical College Hospital
Beijing, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Qinghai Provincial People's Hospital
Xining, China
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The First People's Hospital of Yunnan Province
Kunming, China
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Tianjin Children's Hospital
Tianjin, China
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Tibet Autonomous Region People's Hospital
Lhasa, China
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Wuhai People's Hospital
Wuhai, China
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Zhangzhou Municipal Hospital of Fujian Province
Zhangzhou, China