Development of a Multimodal Deep Learning Model for Pediatric Patients
Key facts
- Where
- New Taipei City, TaiwanSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 4 and 18 years old?
Source: NCT07805486, who can take part
Where in Taiwan
- Fu Jen Catholic University Hospital, Fu Jen Catholic UniversityNew Taipei City, TaiwanContact: Ke-Yun Chao, PhDTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Fu Jen Catholic University
- Trial code
- NCT07805486
- Record updated
- 4 November 2026
- Original description
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.Read full original descriptionShow less
Development of an Artificial Intelligence-Based Model for Assessing the Severity of Pediatric Obstructive Sleep Apnea
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.
Inclusion: Individuals with clinical suspicion of obstructive sleep apnea who are referred for polysomnography.
Exclusion: Hospitalization within the previous one month; Cardiac arrhythmia; Neuromuscular disease; Intolerance to a fingertip or wrap-around pulse oximeter; Presence of significant structural abnormalities of the upper airway.