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Artificial Intelligence for Rare Disease Diagnosis

3. juni 2026 oppdatert av: 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.

Studieoversikt

Status

Har ikke rekruttert ennå

Forhold

Intervensjon / Behandling

Detaljert beskrivelse

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.

Studietype

Intervensjonell

Registrering (Antatt)

150

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studiesteder

  • Kina
      • Beijing, Kina
        • Peking Union Medical College Hospital
        • Ta kontakt med:
      • Cangzhou, Kina
        • Cangzhou Central Hospital
        • Ta kontakt med:
      • Changchun, Kina
        • Changchun Sacred Heart Hospital
        • Ta kontakt med:
      • Dongguan, Kina
        • Dongguan People's Hospital
        • Ta kontakt med:
      • Foshan, Kina
        • First People's Hospital of Foshan
        • Ta kontakt med:
      • Guiyang, Kina
        • Guizhou Provincial People's Hospital
        • Ta kontakt med:
      • Jilin City, Kina
        • Jilin Central General Hospital
        • Ta kontakt med:
      • Kunming, Kina
        • The First People's Hospital of Yunnan Province
        • Ta kontakt med:
          • Jianhong Hou
          • Telefonnummer: +86-0871-63638800
          • E-post: khyyyb@163.com
      • Lhasa, Kina
        • Tibet Autonomous Region People's Hospital
        • Ta kontakt med:
      • Tianjin, Kina
        • Tianjin Children's Hospital
        • Ta kontakt med:
      • Wuhai, Kina
        • Wuhai People's Hospital
        • Ta kontakt med:
      • Xining, Kina
        • Qinghai Provincial People's Hospital
        • Ta kontakt med:
      • Zhangzhou, Kina
        • Zhangzhou Municipal Hospital of Fujian Province
        • Ta kontakt med:

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen
  • Eldre voksen

Tar imot friske frivillige

Ja

Beskrivelse

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.

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Diagnostisk
  • Tildeling: Randomisert
  • Intervensjonsmodell: Crossover-oppdrag
  • Masking: Enkelt

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: Intervention Arm
Physicians complete assigned diagnostic tasks with the assistance of AI system in addition to conventional clinical resources.
Annen: 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.
Ingen inngripen: 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.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Top-3 Diagnostic Accuracy
Tidsramme: 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).

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Diagnosis Time per Case
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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).

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Sponsor

Peking Union Medical College Hospital

Samarbeidspartnere

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

Etterforskere

  • Hovedetterforsker: Shuyang Zhang, Peking Union Medical College Hospital

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Antatt)

20. juni 2026

Primær fullføring (Antatt)

1. desember 2026

Studiet fullført (Antatt)

1. juni 2027

Datoer for studieregistrering

Først innsendt

28. mai 2026

Først innsendt som oppfylte QC-kriteriene

3. juni 2026

Først lagt ut (Faktiske)

4. juni 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

4. juni 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

3. juni 2026

Sist bekreftet

1. juni 2026

Mer informasjon

Begreper knyttet til denne studien

Nøkkelord

Ytterligere relevante MeSH-vilkår

Andre studie-ID-numre

  • PUMCH I-23PJ948

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

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