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Trial Radar IA
Lo studio clinico NCT07497243 per Chest X-ray for Clinical Evaluation è non ancora in arruolamento. Consulti la vista a schede del Radar degli Studi Clinici e gli strumenti di scoperta IA per tutti i dettagli. Oppure, ponga pure una domanda qui.
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X-ray Assisted Diagnostic System 16.000

Non ancora in arruolamento
I dettagli dello studio clinico sono disponibili principalmente in inglese. Tuttavia, Trial Radar IA può essere d'aiuto! Basta cliccare su 'Spiega lo studio' per visualizzare e discutere le informazioni sullo studio nella lingua selezionata.
La sperimentazione clinica NCT07497243 è uno studio osservazionale per Chest X-ray for Clinical Evaluation, attualmente non ancora in arruolamento. L'arruolamento dovrebbe iniziare il 1 maggio 2026, con l'obiettivo di raggiungere 16.000 partecipanti. Sotto la guida di Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, dovrebbe concludersi entro il 30 novembre 2026. I dati più recenti da ClinicalTrials.gov sono stati aggiornati l'ultima volta il 27 marzo 2026.
Sommario breve
X-ray examination is one of the most commonly used imaging modalities, especially chest X-ray, which is routinely performed for hospitalized patients. However, due to the low density resolution of X-ray images, radiologists' ability to diagnose diseases-particularly small lesions-is often affected. Studies have shown that the diagnostic accuracy of radiologists using chest X-rays is only around 70%, which does not me...Mostra di più
Titolo ufficiale

Construction and Clinical Application of an X-ray AI-Aided Diagnosis System: A Randomized Controlled Trial

Patologie
Chest X-ray for Clinical Evaluation
Altri ID dello studio
  • X-Ray-001
Numero NCT
NCT07497243
Data di inizio (effettiva)
2026-05-01
Ultimo aggiornamento pubblicato
2026-03-27
Data di completamento (stimata)
2026-11-30
Arruolamento (previsto)
16.000
Tipo di studio
Osservazionale
Stato
Non ancora in arruolamento
Parole chiave
X-Ray
AI
Chest diseases
Accuracy
Bracci / Interventi
Gruppo/Braccio di partecipantiIntervento/Trattamento
Radiologist diagnostic group
After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis.
Radiologist diagnostic group
After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis.
AI-assisted radiologist diagnostic group
After the patient undergoes an X-ray examination, an AI-assisted radiologist generates the report and makes the diagnosis.
AI-assisted radiologist diagnostic group
Based on the previously developed X-ray image diagnosis and report generation model, radiologists are assisted in interpreting X-ray images and generating reports.
Esito primario
Misure di esitoDescrizione della misuraArco temporale
Area Under the Curve
The primary outcome was the AUC to evaluate diagnostic performance, comparing radiologists with and without AI assistance.
From enrollment to the end of X-ray image acquisition at 1 week
Esito secondario
Misure di esitoDescrizione della misuraArco temporale
X-ray report generation time
X-ray report generation time refers to the amount of time required to produce a diagnostic report after an X-ray examination has been performed. It typically measures the interval from when the X-ray images are acquired to when the radiologist (with or without AI assistance) completes and finalizes the report.
From enrollment to the end of X-ray image acquisition at 1 week
Assistente alla partecipazione
Criteri di eleggibilità

Età idonea
Bambino, Adulto, Adulto anziano
Sessi idonei
Tutti
Accetta volontari sani
Sì
  • Clinically suspected thoracic diseases (such as pneumonia, tuberculosis, or lung cancer) requiring X-ray diagnosis；
  • Patients providing written informed consent for research data use；
  • Complete clinical records (including chief complaints, medical history, and laboratory test results)

  • Substandard X-ray image quality (including severe motion artifacts, over-/underexposure, or missing anatomical structures)
  • Pregnant or lactating women
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology logoUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology
Contatti principali dello studio
Contatto: Huangxuan Zhao, PhD, 18971676985, [email protected]
4 Centri dello studio in 1 paesi

Hubei

Wuhan Union Hospital, Wuhan, Hubei, 430022, China
Lei Chen, MD, Contatto, 15971480677, [email protected]
Wuhan Union Jinyin Lake Hospital, Wuhan, Hubei, 430022, China
Lei Chen, Contatto, 15971480677, [email protected]
Wuhan Union West Hospital, Wuhan, Hubei, 430022, China
Huangxuan Zhao, Contatto, 18971676985, [email protected]
The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Huangxuan Duan, Contatto, 13209867189, [email protected]