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Pelvic ultrasound simulation training models and case scenarios
Jorge Sarmiento
, Kevan Stewart
, Jorge Aguila
, Arya Bagherpour
, Sanja Kupesic Plavsic
Research output
:
Contribution to journal
›
Review article
›
peer-review
3
Scopus citations
Overview
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Keyphrases
Training Model
100%
Training Set
100%
Pelvic Ultrasound
100%
Ultrasound Simulation Training
100%
Medical Students
50%
Medical Residents
50%
Pathological Process
50%
Obstetrics and Gynaecology
50%
Clinical Setting
50%
Medical Faculty
50%
Specific Needs
50%
Ultrasound Scan
50%
Scanning Method
50%
Controlled Learning
50%
Learning Environment
50%
Disease Presentation
50%
Patient Encounter
50%
High Fidelity Mannequins
50%
Case-based Scenario
50%
Safe Learning
50%
Ultrasound Education
50%
Medicine and Dentistry
Pelvis
100%
Simulation Training
100%
Medical Student
50%
Pathological Process
50%
Obstetrics
50%
Gynecology
50%
Echography
50%
Manikin
50%
Diseases
50%
Computer Science
Training Model
100%
Training Case
100%