Artificial Intelligence for Rare Disease Diagnosis
A Multicentre, Randomised Diagnostic Accuracy Study Evaluating AI Assisted Diagnosis of Rare Diseases
Studienübersicht
Status
Status
Bedingungen
Bedingungen
Intervention / Behandlung
Intervention / Behandlung
Detaillierte Beschreibung
Studientyp
Studientyp
Einschreibung (Geschätzt)
Einschreibung
Phase
Phase
- Unzutreffend
Kontakte und Standorte
Studienkontakt
Studienkontakt
- Name: Shuyang Zhang
- Telefonnummer: +86-13911667211
- E-Mail: shuyangzhang103@163.com
Studienorte
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Beijing, China
- Peking Union Medical College Hospital
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Kontakt:
- Shuyang Zhang
- Telefonnummer: +8613911667211
- E-Mail: shuyangzhang103@163.com
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Cangzhou, China
- Cangzhou Central Hospital
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Kontakt:
- Yong Li
- Telefonnummer: +86-0317-2075013
- E-Mail: czszxyyirb@163.com
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Changchun, China
- Changchun Sacred Heart Hospital
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Kontakt:
- Junbiao Cui
- Telefonnummer: +86-0431-88711699
- E-Mail: ccsx_net2008@126.com
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Dongguan, China
- Dongguan People's Hospital
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Kontakt:
- Yaoqing Yuan
- Telefonnummer: +86-0769-28637333
- E-Mail: dgrmyyirb@163.com
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Foshan, China
- First People's Hospital of Foshan
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Kontakt:
- Jun Jiang
- Telefonnummer: +86-0757-83833633
- E-Mail: jinye0320@163.com
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Guiyang, China
- Guizhou Provincial People's Hospital
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Kontakt:
- Yan Zha
- Telefonnummer: +86-0851-85937094
- E-Mail: sytsb606@sina.com
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Jilin City, China
- Jilin Central General Hospital
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Kontakt:
- Mingyu Shao
- Telefonnummer: +86-0432-62456181
- E-Mail: jlszxyy@163.com
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Kunming, China
- The First People's Hospital of Yunnan Province
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Kontakt:
- Jianhong Hou
- Telefonnummer: +86-0871-63638800
- E-Mail: khyyyb@163.com
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Lhasa, China
- Tibet Autonomous Region People's Hospital
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Kontakt:
- Dong Wu
- Telefonnummer: +86-0891-6371322
- E-Mail: wudong@pumch.cn
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Tianjin, China
- Tianjin Children's Hospital
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Kontakt:
- Wei Liu
- Telefonnummer: 022-87787101
- E-Mail: setyyyb@tj.gov.cn
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Wuhai, China
- Wuhai People's Hospital
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Kontakt:
- Rui Ren
- Telefonnummer: +86-0473-2035041
- E-Mail: whsrmyybgs@163.com
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Xining, China
- Qinghai Provincial People's Hospital
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Kontakt:
- Qiang Zhang
- Telefonnummer: +86-0971-8177911
- E-Mail: 403252559@qq.com
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Zhangzhou, China
- Zhangzhou Municipal Hospital of Fujian Province
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Kontakt:
- Xiao Yang
- Telefonnummer: +86-0596-2082950
- E-Mail: zzfh2005@126.com
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Teilnahmekriterien
Zulassungskriterien
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Beschreibung
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.
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Diagnose
- Zuteilung: Zufällig
- Interventionsmodell: Crossover-Aufgabe
- Maskierung: Single
Anzahl der Arme
Waffen und Interventionen
Teilnehmergruppe / ArmTeilnehmergruppe / Arm |
Intervention / BehandlungIntervention / Behandlung |
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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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Kein Eingriff: 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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Was misst die Studie?
Primäre Ergebnismessungen
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Top-3 Diagnostic Accuracy
Zeitfenster: 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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Sekundäre Ergebnismessungen
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Diagnosis Time per Case
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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
Zeitfenster: 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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Mitarbeiter und Ermittler
Sponsor
Sponsor
Mitarbeiter
Mitarbeiter
Ermittler
Ermittler
- Hauptermittler: Shuyang Zhang, Peking Union Medical College Hospital
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Geschätzt)
Studienbeginn
Primärer Abschluss (Geschätzt)
Primärer Abschluss
Studienabschluss (Geschätzt)
Studienabschluss
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Zuerst gepostet
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes Update gepostet
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
Andere Studien-ID-Nummern
- PUMCH I-23PJ948
Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
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