Development of a Multimodal Deep Learning Model for Pediatric Patients
NCT: NCT07805486 · NOT_YET_RECRUITING
Publicidad
Resumen breve
This study aims to develop a multimodal data-driven model integrating multiple noninvasive physiological signals to assess the severity of pediatric sleep-disordered breathing, using standard clinical sleep study results as the reference.
Fuente oficial
Ver en ClinicalTrials.gov →Datos obtenidos de la API de ClinicalTrials.gov. Para conocer el estado más reciente, consulte el registro oficial.