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Artificial Intelligence for Rare Disease Diagnosis

3 juin 2026 mis à jour par: Shuyang Zhang, MD, PhD, Peking Union Medical College Hospital

A Multicentre, Randomised Diagnostic Accuracy Study Evaluating AI Assisted Diagnosis of Rare Diseases

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.

Aperçu de l'étude

Statut

Pas encore de recrutement

Les conditions

Intervention / Traitement

Description détaillée

Rare diseases collectively affect approximately 300 million individuals worldwide. This prolonged diagnostic delay is attributable in large part to the breadth of over 7,000 recognized rare conditions, which far exceeds the clinical exposure of any individual physician. A rare disease-specific diagnostic AI was developed by Peking Union Medical College Hospital (PUMCH), supporting differential diagnosis generation, clinical workup planning, and genomic variant interpretation. A balanced crossover design ensures that each enrolled physician serves as their own control, substantially reducing confounding from inter-reader variability in baseline diagnostic competency. Within each physician, cases are randomly assigned at the case level to either the AI-assisted or unassisted condition, such that each physician reads a subset of cases with AI assistance and the remaining cases without. This within-reader, case-level randomization eliminates the need for a washout period and directly controls for inter-reader differences in baseline diagnostic competency. All cases are collected from real-world clinical settings with independently confirmed gold-standard diagnoses and span a pre-specified spectrum of rare and non-rare disease categories, reflecting the differential diagnostic challenge encountered in routine clinical practice, to ensure diagnostic breadth and clinical representativeness. Physician seniority (junior vs. senior) is incorporated as a pre-specified stratification and subgroup analysis variable. Diagnostic outputs are evaluated by an independent Expert Adjudication Committee, blinded to the assistance condition, using standardized scoring criteria established prior to data collection.

Type d'étude

Interventionnel

Inscription (Estimé)

150

Phase

  • N'est pas applicable

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Coordonnées de l'étude

Lieux d'étude

  • Chine
      • Beijing, Chine
        • Peking Union Medical College Hospital
        • Contact:
      • Cangzhou, Chine
        • Cangzhou Central Hospital
        • Contact:
      • Changchun, Chine
        • Changchun Sacred Heart Hospital
        • Contact:
      • Dongguan, Chine
        • Dongguan People's Hospital
        • Contact:
      • Foshan, Chine
        • First People's Hospital of Foshan
        • Contact:
      • Guiyang, Chine
        • Guizhou Provincial People's Hospital
        • Contact:
      • Jilin City, Chine
        • Jilin Central General Hospital
        • Contact:
          • Mingyu Shao
          • Numéro de téléphone: +86-0432-62456181
          • E-mail: jlszxyy@163.com
      • Kunming, Chine
        • The First People's Hospital of Yunnan Province
        • Contact:
          • Jianhong Hou
          • Numéro de téléphone: +86-0871-63638800
          • E-mail: khyyyb@163.com
      • Lhasa, Chine
        • Tibet Autonomous Region People's Hospital
        • Contact:
      • Tianjin, Chine
        • Tianjin Children's Hospital
        • Contact:
      • Wuhai, Chine
        • Wuhai People's Hospital
        • Contact:
      • Xining, Chine
        • Qinghai Provincial People's Hospital
        • Contact:
      • Zhangzhou, Chine
        • Zhangzhou Municipal Hospital of Fujian Province
        • Contact:

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

  • Adulte
  • Adulte plus âgé

Accepte les volontaires sains

Oui

La 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.

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Objectif principal: Diagnostique
  • Répartition: Randomisé
  • Modèle interventionnel: Affectation croisée
  • Masquage: Seul

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Expérimental: Intervention Arm
Physicians complete assigned diagnostic tasks with the assistance of AI system in addition to conventional clinical resources.
Autre: 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.
Aucune 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.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Top-3 Diagnostic Accuracy
Délai: Up to 60 minutes per case (from case presentation to diagnostic report submission).
The percentage of definitive diagnosis is included within the physician's top 3 choices.
Up to 60 minutes per case (from case presentation to diagnostic report submission).

Mesures de résultats secondaires

Mesure des résultats
Description de la mesure
Délai
Diagnosis Time per Case
Délai: Up to 60 minutes per case (from case presentation to diagnostic report submission).
Elapsed time from initial case presentation to final diagnostic report submission, recorded automatically via system logs.
Up to 60 minutes per case (from case presentation to diagnostic report submission).
Workup Plan Quality
Délai: Up to 60 minutes per case (from case presentation to diagnostic report submission).
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.
Up to 60 minutes per case (from case presentation to diagnostic report submission).
Physician Reported Usability of the AI-Assisted Diagnostic System
Délai: Up to 60 minutes per case (upon completion of each case reading).
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.
Up to 60 minutes per case (upon completion of each case reading).
Physician Reported Workload
Délai: Up to 60 minutes per case (upon completion of each case reading).
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.
Up to 60 minutes per case (upon completion of each case reading).
Physician Satisfaction
Délai: Up to 60 minutes per case (upon completion of each case reading).
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.
Up to 60 minutes per case (upon completion of each case reading).
Physician Intention to Adopt AI-Assisted Diagnostic Support
Délai: Up to 60 minutes per case (upon completion of each case reading).
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.
Up to 60 minutes per case (upon completion of each case reading).

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Parrainer

Peking Union Medical College Hospital

Collaborateurs

Guizhou Provincial People's Hospital
First People's Hospital of Foshan
Dongguan People's Hospital
Qinghai People's Hospital
Cangzhou Central Hospital
The First People's Hospital of Yunnan
Tibet Autonomous Region People's Hospital
Tianjin Children's Hospital
Zhangzhou Municipal Hospital of Fujian Province

Les enquêteurs

  • Chercheur principal: Shuyang Zhang, Peking Union Medical College Hospital

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Estimé)

20 juin 2026

Achèvement primaire (Estimé)

1 décembre 2026

Achèvement de l'étude (Estimé)

1 juin 2027

Dates d'inscription aux études

Première soumission

28 mai 2026

Première soumission répondant aux critères de contrôle qualité

3 juin 2026

Première publication (Réel)

4 juin 2026

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

4 juin 2026

Dernière mise à jour soumise répondant aux critères de contrôle qualité

3 juin 2026

Dernière vérification

1 juin 2026

Plus d'information

Termes liés à cette étude

Mots clés

Termes MeSH pertinents supplémentaires

Autres numéros d'identification d'étude

  • PUMCH I-23PJ948

Informations sur les médicaments et les dispositifs, documents d'étude

Étudie un produit pharmaceutique réglementé par la FDA américaine

Non

Étudie un produit d'appareil réglementé par la FDA américaine

Non

Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .

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