# Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep

> **NCT07447999** · — · RECRUITING · sponsor: **Fu Jen Catholic University** · enrollment: 150 (estimated)

## Conditions studied

- Obstructive Sleep Apnea (OSA)
- Polysomnography

## Interventions

- **DEVICE:** electronic stethoscope
- **DEVICE:** fingertip pulse oximeter
- **DEVICE:** pressure-sensing mattresses

## Key facts

- **NCT ID:** NCT07447999
- **Lead sponsor:** Fu Jen Catholic University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2025-09-05
- **Primary completion:** 2026-07-31
- **Final completion:** 2026-07-31
- **Target enrollment:** 150 (ESTIMATED)
- **Last updated:** 2026-03-05


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07447999

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07447999, "Multimodal Deep Learning Model for Predicting the Apnea-Hypopnea Index in Obstructive Sleep". Retrieved via AI Analytics 2026-06-26 from https://api.ai-analytics.org/clinical/NCT07447999. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*