Development of a Multimodal Deep Learning Model for Pediatric Patients
NCT: NCT07805486 · NOT_YET_RECRUITING
Publicidade
Resumo 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.
Fonte oficial
Ver no ClinicalTrials.gov →Dados provenientes da API do ClinicalTrials.gov. Para consultar o estado mais recente, veja o registo oficial.