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Artificial Intelligence for Rare Disease Diagnosis
Sponsor: Peking Union Medical College Hospital
Summary
A multicentre, randomised diagnostic accuracy study to evaluate whether the rare disease-specific AI can improve diagnostic accuracy and efficiency for physicians managing real-world clinical cases.
Official title: A Multicentre, Randomised Diagnostic Accuracy Study Evaluating AI Assisted Diagnosis of Rare Diseases
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
150
Start Date
2026-06-20
Completion Date
2027-06-01
Last Updated
2026-06-04
Healthy Volunteers
Yes
Conditions
Interventions
AI-Assisted Diagnosis
A rare disease-specific diagnostic AI model is used to accept free text input and assist in rare disease diagnoses. During the experimental condition, physicians may interact with the system freely alongside standard clinical resources to support their diagnostic reasoning.
Locations (13)
Peking Union Medical College Hospital
Beijing, China
Cangzhou Central Hospital
Cangzhou, China
Changchun Sacred Heart Hospital
Changchun, China
Dongguan People's Hospital
Dongguan, China
First People's Hospital of Foshan
Foshan, China
Guizhou Provincial People's Hospital
Guiyang, China
Jilin Central General Hospital
Jilin, China
The First People's Hospital of Yunnan Province
Kunming, China
Tibet Autonomous Region People's Hospital
Lhasa, China
Tianjin Children's Hospital
Tianjin, China
Wuhai People's Hospital
Wuhai, China
Qinghai Provincial People's Hospital
Xining, China
Zhangzhou Municipal Hospital of Fujian Province
Zhangzhou, China