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Artificial Intelligence for Rare Disease Diagnosis

NCT07625436 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150

Last updated 2026-06-04

No results posted yet for this study

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.

Conditions

Interventions

OTHER

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.

Sponsors & Collaborators

  • Cangzhou Central Hospital

    collaborator OTHER

  • Zhangzhou Municipal Hospital of Fujian Province

    collaborator OTHER

  • Dongguan People's Hospital

    collaborator OTHER_GOV

  • First People's Hospital of Foshan

    collaborator OTHER

  • Tibet Autonomous Region People's Hospital

    collaborator OTHER

  • Guizhou Provincial People's Hospital

    collaborator OTHER

  • Tianjin Children's Hospital

    collaborator OTHER

  • The First People's Hospital of Yunnan

    collaborator OTHER

  • Qinghai People's Hospital

    collaborator OTHER

  • Peking Union Medical College Hospital

    lead OTHER

Principal Investigators

  • Shuyang Zhang · Peking Union Medical College Hospital

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-06-20
Primary Completion
2026-12-01
Completion
2027-06-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07625436 on ClinicalTrials.gov