# Patient-Ventilator Dyssynchrony Detection With a Machine Learning Algorithm

> **NCT06506123** · — · RECRUITING · sponsor: **University of Sao Paulo General Hospital** · enrollment: 80 (estimated)

## Conditions studied

- Respiratory Failure

## Interventions

- **DEVICE:** Artificial Intelligence Detection and Classification of Patient-Ventilator Dyssynchronies

## Key facts

- **NCT ID:** NCT06506123
- **Lead sponsor:** University of Sao Paulo General Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2024-05-25
- **Primary completion:** 2025-05-24
- **Final completion:** 2025-12-24
- **Target enrollment:** 80 (ESTIMATED)
- **Last updated:** 2024-07-17

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06506123

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06506123, "Patient-Ventilator Dyssynchrony Detection With a Machine Learning Algorithm". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06506123. Licensed CC0.

---

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