JPRN-UMIN000041587
Completed
未知
Evaluation of Physical Examination in the Detection of Arteriovenous Fistula Stenosis by deep learning - Evaluation of Physical Examination in the Detection of Arteriovenous Fistula Stenosis by deep learning
Department of Nephrology, Gamagori City Hospital, Gamagori 443-8501, Japan0 sites220 target enrollmentOctober 1, 2020
Conditionschronic kidney disease
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- chronic kidney disease
- Sponsor
- Department of Nephrology, Gamagori City Hospital, Gamagori 443-8501, Japan
- Enrollment
- 220
- Status
- Completed
- Last Updated
- 2 years ago
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- •1\) Patients on catheter dialysis 2\) Patients with unstable circulatory dynamics 3\) Patients deemed by the attending physician to be inappropriate for study participation on medical grounds
Outcomes
Primary Outcomes
Not specified
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