Development of a Prediction System for Analgesic Effects and Diaphragmatic Paralysis of Brachial Plexus Block Using Artificial Intelligence
Not Applicable
- Conditions
- Rotator cuff tear
- Registration Number
- JPRN-UMIN000043764
- Lead Sponsor
- Department of Anesthesiology, Yamagata University Faculty of Medicine
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete: follow-up continuing
- Sex
- All
- Target Recruitment
- 200
Inclusion Criteria
Not provided
Exclusion Criteria
Patients with respiratory dysfunction or asthma Patients with anatomical abnormalities in the upper limbs Patients who did not give consent for the study Cases in which the operation time exceeds 4 hours Patients undergoing emergency surgery Patients with preoperative diaphragmatic paralysis
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Prediction accuracy (sensitivity, specificity, and area under the curve) of postoperative analgesic effect and presence of diaphragmatic paralysis (sensitivity, specificity, and prediction accuracy) in the created system.
- Secondary Outcome Measures
Name Time Method