Development of a Multimodal Deep Learning Model for Pediatric Patients
NCT: NCT07805486 · NOT_YET_RECRUITING
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Brief Summary
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.
Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.
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