Patient-Ventilator Dyssynchrony Detection With a Machine Learning Algorithm

RecruitingOBSERVATIONAL
Enrollment

80

Participants

Timeline

Start Date

May 25, 2024

Primary Completion Date

May 24, 2025

Study Completion Date

December 24, 2025

Conditions
Respiratory Failure
Interventions
DEVICE

Artificial Intelligence Detection and Classification of Patient-Ventilator Dyssynchronies

Machine learning algorithm to detect and classify patient-ventilator dyssynchronies, which is integrated in the mechanical ventilator (Fleximag Max, Magnamed, Brazil).

Trial Locations (1)

05403900

RECRUITING

Heart Institute, University of São Paulo, São Paulo

Sponsors
All Listed Sponsors
collaborator

Magnamed Tecnologia Medica S/A

UNKNOWN

lead

University of Sao Paulo General Hospital

OTHER