Ignite Creation Date:
2026-03-26 @ 3:18 PM
Ignite Modification Date:
2026-03-31 @ 7:27 AM
Study NCT ID:
NCT07428694
Status:
RECRUITING
Last Update Posted:
2026-02-24
First Post:
2026-02-17
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak
Sponsor:
University of Oslo
Organization:
Study Overview
Official Title:
From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak
Status:
RECRUITING
Status Verified Date:
2026-02
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Study of the applicability of machine learning tools in detecting inspiratory leakage in longterm non-invasive ventilation. The study was conducted in two stages. Firstly the ML model was trained on both bench model created scenarios and then ten patients. And secondly the success of the model was assessed in a proof of concept pilot study of ten patients.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
True
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: