JPRN-UMIN000044894
Recruiting
未知
Creation of a deep learning model to predict hypotension after induction of general anesthesia using a biometric screen during awakening - A prospective observational study - Creation of a deep learning model to predict hypotension after induction of general anesthesia using a biometric screen during awakening - A prospective observational study
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- Surgical cases undergoing general anesthesia
- Sponsor
- Yamagata University
- Enrollment
- 100
- Status
- Recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- •Patients who have been sedated prior to induction of general anesthesia. Patients undergoing tracheal intubation prior to induction of general anesthesia. Patients with contraindications to propofol or remimazolam. Patients who did not give their consent to participate in the study. Patients with aortic aneurysms or cerebral aneurysms that require management to prevent excessive blood pressure fluctuations.
Outcomes
Primary Outcomes
Not specified
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