Development of a Laparoscopic Box Trainer Based on Open Source Hardware and Artificial Intelligence for Objective Assessment of Surgical Psychomotor Skills.

Journal: Surgical innovation

Published Date: May 29, 2018

Abstract

BACKGROUND: A trainer for online laparoscopic surgical skills assessment based on the performance of experts and nonexperts is presented. The system uses computer vision, augmented reality, and artificial intelligence algorithms, implemented into a Raspberry Pi board with Python programming language.

Authors

Gustavo A Alonso-Silverio

1 Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, México.
Fernando Pérez-Escamirosa

2 Universidad Nacional Autónoma de México UNAM, Ciudad de México, México.
Raúl Bruno-Sanchez

1 Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, México.
José L Ortiz-Simon

3 Instituto Tecnológico de Nuevo Laredo, Tamaulipas, México.
Roberto Muñoz-Guerrero

4 Instituto Politécnico Nacional, Ciudad de México, México.
Arturo Minor-Martinez

4 Instituto Politécnico Nacional, Ciudad de México, México.
Antonio Alarcón-Paredes

1 Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, México.

Keywords

Education, Medical Humans Laparoscopy Neural Networks, Computer Psychomotor Performance ROC Curve Students, Medical Task Performance and Analysis Virtual Reality

External Resources

View on PubMed Access via DOI PubMed (29809097)

Development of a Laparoscopic Box Trainer Based on Open Source Hardware and Artificial Intelligence for Objective Assessment of Surgical Psychomotor Skills.

Abstract

Authors

Keywords

External Resources

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