Artificial Intelligence for Rare Disease Diagnosis
A Multicentre, Randomised Diagnostic Accuracy Study Evaluating AI Assisted Diagnosis of Rare Diseases
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Shuyang Zhang
- Phone Number: +86-13911667211
- Email: shuyangzhang103@163.com
Study Locations
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Beijing, China
- Peking Union Medical College Hospital
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Contact:
- Shuyang Zhang
- Phone Number: +8613911667211
- Email: shuyangzhang103@163.com
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Cangzhou, China
- Cangzhou Central Hospital
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Contact:
- Yong Li
- Phone Number: +86-0317-2075013
- Email: czszxyyirb@163.com
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Changchun, China
- Changchun Sacred Heart Hospital
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Contact:
- Junbiao Cui
- Phone Number: +86-0431-88711699
- Email: ccsx_net2008@126.com
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Dongguan, China
- Dongguan People's Hospital
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Contact:
- Yaoqing Yuan
- Phone Number: +86-0769-28637333
- Email: dgrmyyirb@163.com
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Foshan, China
- First People's Hospital of Foshan
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Contact:
- Jun Jiang
- Phone Number: +86-0757-83833633
- Email: jinye0320@163.com
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Guiyang, China
- Guizhou Provincial People's Hospital
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Contact:
- Yan Zha
- Phone Number: +86-0851-85937094
- Email: sytsb606@sina.com
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Jilin City, China
- Jilin Central General Hospital
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Contact:
- Mingyu Shao
- Phone Number: +86-0432-62456181
- Email: jlszxyy@163.com
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Kunming, China
- The First People's Hospital of Yunnan Province
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Contact:
- Jianhong Hou
- Phone Number: +86-0871-63638800
- Email: khyyyb@163.com
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Lhasa, China
- Tibet Autonomous Region People's Hospital
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Contact:
- Dong Wu
- Phone Number: +86-0891-6371322
- Email: wudong@pumch.cn
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Tianjin, China
- Tianjin Children's Hospital
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Contact:
- Wei Liu
- Phone Number: 022-87787101
- Email: setyyyb@tj.gov.cn
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Wuhai, China
- Wuhai People's Hospital
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Contact:
- Rui Ren
- Phone Number: +86-0473-2035041
- Email: whsrmyybgs@163.com
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Xining, China
- Qinghai Provincial People's Hospital
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Contact:
- Qiang Zhang
- Phone Number: +86-0971-8177911
- Email: 403252559@qq.com
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Zhangzhou, China
- Zhangzhou Municipal Hospital of Fujian Province
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Contact:
- Xiao Yang
- Phone Number: +86-0596-2082950
- Email: zzfh2005@126.com
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 1. Licensed physicians at the junior or senior level affiliated with internal medicine, neurology, pediatrics, and rare disease-related departments.
- 2. Willingness to provide written informed consent, adhere to trial protocols, and complete all required pre-study training prior to enrollment.
Exclusion Criteria:
- 1. Prior exposure to any of the clinical cases included in the study case library.
- 2. Direct participation in the design or development of the AI model.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: Intervention Arm
Physicians complete assigned diagnostic tasks with the assistance of AI system in addition to conventional clinical resources.
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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.
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No Intervention: Control Arm
Physicians complete the assigned diagnostic tasks using conventional clinical resources only (e.g., medical databases and literature), without access to any generative AI tools.
This arm reflects routine clinical diagnostic practice.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Top-3 Diagnostic Accuracy
Time Frame: Up to 60 minutes per case (from case presentation to diagnostic report submission).
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The percentage of definitive diagnosis is included within the physician's top 3 choices.
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Up to 60 minutes per case (from case presentation to diagnostic report submission).
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Diagnosis Time per Case
Time Frame: Up to 60 minutes per case (from case presentation to diagnostic report submission).
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Elapsed time from initial case presentation to final diagnostic report submission, recorded automatically via system logs.
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Up to 60 minutes per case (from case presentation to diagnostic report submission).
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Workup Plan Quality
Time Frame: Up to 60 minutes per case (from case presentation to diagnostic report submission).
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Quality score of the clinical workup plan assigned by an independent expert committee using a standardized Likert Scale.
Scores range from 1 to 10, with higher scores indicating better workup plan quality.
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Up to 60 minutes per case (from case presentation to diagnostic report submission).
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Physician Reported Usability of the AI-Assisted Diagnostic System
Time Frame: Up to 60 minutes per case (upon completion of each case reading).
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Physician-reported usability of the AI system, assessed after completion of each AI-assisted case reading using a 10-point physician-rated usability scale.
Scores range from 1 to 10, with higher scores indicating better system usability.
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Up to 60 minutes per case (upon completion of each case reading).
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Physician Reported Workload
Time Frame: Up to 60 minutes per case (upon completion of each case reading).
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Task-related workload experienced by physicians, assessed after completion of each AI-assisted case reading using a 10-point Physician Workload Likert scale.
Scores range from 1 to 10, with higher scores indicating a higher workload.
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Up to 60 minutes per case (upon completion of each case reading).
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Physician Satisfaction
Time Frame: Up to 60 minutes per case (upon completion of each case reading).
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Overall satisfaction of physicians with the diagnostic workflow, assessed after completion of each AI-assisted case reading using a 10-point Satisfaction Likert scale.
Scores range from 1 to 10, with higher scores indicating higher satisfaction.
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Up to 60 minutes per case (upon completion of each case reading).
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Physician Intention to Adopt AI-Assisted Diagnostic Support
Time Frame: Up to 60 minutes per case (upon completion of each case reading).
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Physician willingness to integrate AI system into routine clinical practice, assessed after completion of each AI-assisted case reading using a 10-point Adoption Intention Likert scale.
Scores range from 1 to 10, with higher scores indicating higher adoption intention.
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Up to 60 minutes per case (upon completion of each case reading).
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Shuyang Zhang, Peking Union Medical College Hospital
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- PUMCH I-23PJ948
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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