JPRN-UMIN000052233
Not yet recruiting
未知
Development of an Artificial Intelligence Model for Mask Ventilation Difficulty/Intubation Difficulty Classification Using Deep Learning with Patient Facial Images - Development of an Artificial Intelligence Model for Mask Ventilation Difficulty/Intubation Difficulty Classification Using Deep Learning with Patient Facial Images
Yamagata Universal Faculty of Medcine0 sites800 target enrollmentOctober 1, 2023
ConditionsScheduled surgical cases
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- Scheduled surgical cases
- Sponsor
- Yamagata Universal Faculty of Medcine
- Enrollment
- 800
- Status
- Not yet recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- •Patients who cannot give consent Patients considered inappropriate by the anesthesiologist in the case Cardiac surgery cases Patients who cannot follow instructions Patients with limited mobility of the neck Patients whose facial appearance, mask ventilation, or intubation is affected by artifacts
Outcomes
Primary Outcomes
Not specified
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