Effective lung protective ventilation strategy using deep learning with graphic monitors : Development of an artificial intelligence prediction model.
Not Applicable
- Conditions
- Ventilated patients admitted to the Yamagata University Hospital Advanced Intensive Care Center
- Registration Number
- JPRN-UMIN000051938
- Lead Sponsor
- Yamagata Universal Faculty of Medcine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 200
Inclusion Criteria
Not provided
Exclusion Criteria
None
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Compare the AI system's prediction of the need for setting changes and reasons for setting changes with the actual presence or absence of setting changes and reasons for setting changes by the intensivist. From that comparison, ROC curves are drawn and accuracy, sensitivity, specificity, and AUC are calculated.
- Secondary Outcome Measures
Name Time Method