Cette page a été traduite automatiquement et l'exactitude de la traduction n'est pas garantie. Veuillez vous référer au version anglaise pour un texte source.

AI-assisted Rare Disease Diagnosis

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

A Multicentre Randomised Controlled Trial of LLM-Assisted Diagnostic Support in Patients With Suspected Rare or Diagnostically Unresolved Disease

A multicentre randomised controlled trial evaluating whether a rare-disease diagnostic large language model can improve diagnostic quality, efficiency, and health-economic outcomes for physicians managing patients with suspected rare or diagnostically unresolved disease.

Aperçu de l'étude

Statut

Pas encore de recrutement

Les conditions

Intervention / Traitement

Description détaillée

Rare disease patients commonly experience prolonged diagnostic odysseys rooted in limited rare disease recognition, phenotypic heterogeneity, and dispersed diagnostic clues. Diagnostic decision-support large language models may improve first-visit consultations by integrating prior records, generating structured analyses, and proposing candidate diagnoses, thereby shortening diagnostic pathways and improving appropriate genetic testing referral.

Participating physicians will provide care under both AI-assisted and standard diagnostic workflows. Eligible patients will be individually randomised to receive either AI-assisted diagnostic support or standard clinical practice.

In the intervention arm, physicians will have diagnostic support from AI when seeing patients. In the control arm, patients are seen under standard hospital workflow without any generative AI tools. Outcomes adjudicated by an independent Expert Committee blinded to arm assignment; adjudicators access no AI-generated materials.

A prospective within-trial economic evaluation will be conducted alongside the randomized trial. Healthcare resource use and costs associated with the diagnostic pathway will be collected.

Type d'étude

Interventionnel

Inscription (Estimé)

1056

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
      • Dongguan, Chine
        • Dongguan People's Hospital
      • Foshan, Chine
        • First People's Hospital of Foshan
      • Guiyang, Chine
        • Guizhou Provincial People's Hospital
      • Jilin City, Chine
        • Jilin Central General Hospital
      • Kunming, Chine
        • The First People's Hospital of Yunnan Province
      • Tianjin, Chine
        • Tianjin Children's Hospital
      • Tianshui, Chine
        • Tianshui 407 Hospital
        • Contact:
      • Wuhai, Chine
        • Wuhai People's Hospital
      • Xining, Chine
        • Qinghai Provincial People's Hospital
      • Zhangzhou, Chine
        • Zhangzhou Municipal Hospital of Fujian Province

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

  • Enfant
  • Adulte
  • Adulte plus âgé

Accepte les volontaires sains

Non

La description

Patient Inclusion Criteria:

  • Any age. Legal guardian co-signs consent for minors or individuals lacking legal capacity.
  • Diagnostically unresolved or suspected rare disease, with at least one prior complete clinical evaluation at a secondary-level or higher institution yielding no confirmed explanatory diagnosis.
  • First presentation to the enrolling institution for the current condition, with no prior records in the institutional HIS or outpatient system.
  • No prior genetic testing related to the current condition; no results or reports available.
  • Written informed consent provided voluntarily by patient or legal guardian, with commitment and ability to complete structured follow-up.

Patient Exclusion Criteria:

  • Confirmed diagnosis (clinical, pathological, or molecular) explaining the primary symptoms.
  • Emergency presentation, critical illness, or any condition incompatible with trial participation.
  • Neither patient nor legally authorised proxy able to complete follow-up.
  • Concurrent enrollment in another interventional study with diagnostic accuracy or genetic testing yield as a primary endpoint.
  • Prior use of another AI system has already yielded a confirmed diagnosis for the current condition.

Physician Inclusion Criteria

  • Licensed physician in internal medicine, neurology, pediatrics, general medicine, rare disease, or a related specialty.
  • ≥2 years of clinical practice; competent to manage rare disease patients; stratified into junior or senior tier.
  • Voluntary participation with written informed consent.

Physician Exclusion Criteria

  • No longer in clinical practice, or unable to fulfill required outpatient duties during the study period.
  • Unwilling to provide informed consent or to permit protocol-required collection of consultation and questionnaire data.
  • Currently enrolled in another AI-assisted clinical workflow, or expected to be unable to comply with the procedures.

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 parallèle
  • Masquage: Seul

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Expérimental: AI system
AI system will be used to provide diagnostic support during the encounter in addition to conventional clinical workflow. Use of other generative AI tools is prohibited.
Autre: AI system
The study AI system will be used to provide diagnostic support during the clinical encounter, including structuring relevant clinical information, generating a clinical analysis, and suggesting candidate diagnoses for review by the treating physician.
Aucune intervention: Standard of care
The physician conducts the encounter per standard hospital workflow using conventional clinical resources only. Use of any generative AI tool is prohibited.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Overall Correct Diagnostic Yield
Délai: From the first visit to final reference diagnosis adjudication, an average of 8 weeks.
The proportion of all randomised patients whose clinical diagnosis by the end of follow-up is concordant with the blinded-adjudicated final reference diagnosis determined by an independent committee.
From the first visit to final reference diagnosis adjudication, an average of 8 weeks.

Mesures de résultats secondaires

Mesure des résultats
Description de la mesure
Délai
Physician-Reported Experience
Délai: Assessed at each consultation (day 1), within 1 day.
Physicians will assess their experience of the diagnostic workflow. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate more positive experience).
Assessed at each consultation (day 1), within 1 day.
Patient-Reported Experience
Délai: Assessed at each consultation (day 1), within 1 day.
Patients will assess their experience of the diagnostic workflow. Responses will be recorded using a standardized rating scale (range 1-5, where higher scores indicate more positive experience).
Assessed at each consultation (day 1), within 1 day.
Appropriate Genetic Testing Recommendation Rate
Délai: From the initial consultation to genetic testing indication adjudication, approximately 8 weeks
The proportion of randomized patients for whom physician-recommended genetic testing is concordant with the indication determined by an independent genetics adjudication committee.
From the initial consultation to genetic testing indication adjudication, approximately 8 weeks
Candidate Diagnostic Accuracy
Délai: From the first visit to final reference diagnosis adjudication, an average of 8 weeks.
The agreement between physician-provided candidate diagnoses in the the initial consultation and the independently adjudicated reference diagnosis.
From the first visit to final reference diagnosis adjudication, an average of 8 weeks.
Molecular Diagnostic Yield
Délai: From the first visit to final reference diagnosis adjudication, an average of 8 weeks.
The proportion of all randomized patients in whom genetic testing performed as part of the clinical diagnostic pathway identifies a clinically relevant molecular finding that is confirmed through independent genetics review.
From the first visit to final reference diagnosis adjudication, an average of 8 weeks.
Time to a Correct Diagnosis
Délai: From enrollment to the end of follow-up, up to 8 weeks.
The number of days from the first study visit to the first physician-assigned diagnosis that is subsequently confirmed as concordant with the independently adjudicated reference diagnosis.
From enrollment to the end of follow-up, up to 8 weeks.
Duration of the Initial Physician Consultation
Délai: Assessed at each consultation (day 1), within 1 day.
In-room consultation time will be recorded, measured, and compared between arms.
Assessed at each consultation (day 1), within 1 day.

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
Tianjin Children's Hospital
Zhangzhou Municipal Hospital

Les enquêteurs

  • Chercheur principal: Shuyang Zhang, MD, PhD, 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)

1 août 2026

Achèvement primaire (Estimé)

1 juillet 2027

Achèvement de l'étude (Estimé)

1 décembre 2027

Dates d'inscription aux études

Première soumission

7 juin 2026

Première soumission répondant aux critères de contrôle qualité

14 juin 2026

Première publication (Réel)

16 juin 2026

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

31 juillet 2026

Dernière mise à jour soumise répondant aux critères de contrôle qualité

30 juillet 2026

Dernière vérification

1 juillet 2026

Plus d'information

Termes liés à cette étude

Mots clés

Termes MeSH pertinents supplémentaires

Autres numéros d'identification d'étude

  • PUMCH I-26PJ0002

Plan pour les données individuelles des participants (IPD)

Prévoyez-vous de partager les données individuelles des participants (DPI) ?

OUI

Description du régime IPD

De-identified IPD will be shared with qualified researchers upon reasonable request, subject to ethics approval and a data use agreement.

Délai de partage IPD

Beginning 6 months after publication of the primary study results and ending 5 years after publication.

Critères d'accès au partage IPD

Requests must include a scientifically sound research proposal and analysis plan, and evidence of ethics approval or exemption where applicable. Access will be subject to approval by the study steering committee and participating institutions, execution of a data use agreement, and compliance with applicable ethical, legal, and data-protection requirements. Data will be made available through a secure access environment or other controlled transfer mechanism. No directly identifiable participant information will be shared.

Type d'informations de prise en charge du partage d'IPD

  • PROTOCOLE D'ÉTUDE
  • SÈVE
  • ANALYTIC_CODE

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 .

S'abonner