Development of a Multimodal Deep Learning Model for Pediatric Patients
NCT : NCT07805486 · NOT_YET_RECRUITING
Publicité
Résumé succinct
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.
Source officielle
Voir sur ClinicalTrials.gov →Données issues de l’API ClinicalTrials.gov. Pour connaître le statut le plus récent, consultez la fiche officielle.