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El ensayo clínico NCT07497243 para Chest X-ray for Clinical Evaluation está aún no recluta. Consulte la vista de tarjeta del Radar de Ensayos Clínicos y las herramientas de descubrimiento de IA para conocer todos los detalles. O haga cualquier pregunta aquí. | ||
Un estudio coincide con los criterios de filtro
Vista de tarjeta
X-ray Assisted Diagnostic System 16.000
Los detalles del ensayo clínico están disponibles principalmente en inglés. ¡Sin embargo, IA Trial Radar puede ayudar! Simplemente haga clic en 'Explicar el estudio' para ver y discutir la información del estudio en el idioma que haya seleccionado.
El ensayo clínico NCT07497243 es un estudio observacional para Chest X-ray for Clinical Evaluation. Su estado actual es: aún no recluta. Se prevé iniciar el reclutamiento el 1 de mayo de 2026 hasta completar 16.000 participantes. Dirigido por Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, se espera que finalice el 30 de noviembre de 2026. Los datos se actualizaron por última vez en ClinicalTrials.gov el 27 de marzo de 2026.
Resumen
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...Mostrar más
Título oficial
Construction and Clinical Application of an X-ray AI-Aided Diagnosis System: A Randomized Controlled Trial
Condiciones médicas
Chest X-ray for Clinical EvaluationOtros ID del estudio
- X-Ray-001
Número del NCT
Inicio del estudio (real)
2026-05-01
Última actualización
2026-03-27
Fecha de finalización (estimada)
2026-11-30
Inscripción (prevista)
16.000
Tipo de estudio
Observacional
Estado general
Aún no recluta
Palabras clave
X-Ray
AI
Chest diseases
Accuracy
AI
Chest diseases
Accuracy
Brazos / Intervenciones
| Grupo de participantes | Intervención/Tratamiento |
|---|---|
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. |
Resultado primario
Resultado secundario
| Medida de resultado | Descripción de la medida | Periodo de tiempo |
|---|---|---|
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 |
| Medida de resultado | Descripción de la medida | Periodo de tiempo |
|---|---|---|
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 |
Asistente de participación
Criterios de elegibilidad
Criterios de edad
Niño, Adulto, Adulto mayor
Criterios de sexo
Todos
Admisión de voluntarios sanos
Sí
- 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 TechnologyContactos centrales del estudio
Contacto: Huangxuan Zhao, PhD, 18971676985, [email protected]
4 Centros del estudio en 1 países
Hubei
Wuhan Union Hospital, Wuhan, Hubei, 430022, China
Lei Chen, MD, Contacto, 15971480677, [email protected]
Wuhan Union Jinyin Lake Hospital, Wuhan, Hubei, 430022, China
Lei Chen, Contacto, 15971480677, [email protected]
Wuhan Union West Hospital, Wuhan, Hubei, 430022, China
Huangxuan Zhao, Contacto, 18971676985, [email protected]
The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Huangxuan Duan, Contacto, 13209867189, [email protected]