Bibliographic Details
| Title: |
Prototipo basado en inteligencia artificial para el entrenamiento del procedimiento quirúrgico de canalización venosa. |
| Alternate Title: |
AI-based prototype for training in the surgical procedure of venous cannulation. |
| Authors: |
Rozo-García, Florelva1 florelva@unipamplona.edu.co, Eduardo Gualdrón-Guerrero, Oscar1 oscar.gualdron@unipamplona.edu.co, Florez-Vera, Johan D.2 johan.florez3@unipamplona.edu.co |
| Source: |
UIS Ingenierías. ene-mar2026, Vol. 25 Issue 1, p1-19. 19p. |
| Subjects: |
Venous puncture, Medical simulation, Medical education, Computer assisted instruction, Wearable technology, Prosthetics, Expertise, Operative surgery |
| Abstract (English): |
This article presents the development of an artificial intelligence-based prototype for training in the surgical procedure of venous cannulation. The system integrates a wearable device equipped with sensors and an anatomical hand dorsum prosthesis designed to simulate five clinical conditions, representing scenarios that healthcare professionals must master with precision and skill. The software incorporates an artificial intelligence model that classifies user performance in real-time into expert or novice categories.This research addresses the need to enhance training in this essential clinical skill, reducing risks for real patients and providing an objective assessment of learning. The findings suggest that this technology serves as a viable alternative to improve medical education and clinical practice within a safe and controlled environment. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): |
El presente artículo describe el desarrollo de un prototipo basado en inteligencia artificial para el entrenamiento en el procedimiento quirúrgico de canalización venosa. El sistema combina un dispositivo wearable equipado con sensores y una prótesis anatómica del dorso de la mano diseñada para emular cinco condiciones clínicas, las cuales representan escenarios que los profesionales de la salud deben aprender a manejar con precisión y destreza. El software incorpora un modelo de inteligencia artificial, que en tiempo real clasifica el desempeño del usuario en categorías de experto o novato. Esta investigación responde a la necesidad de mejorar el entrenamiento en esta habilidad esencial en entornos clínicos, minimizando riesgos para pacientes reales y ofreciendo una evaluación objetiva del aprendizaje. Los resultados encontrados sugieren que esta tecnología es una alternativa para mejorar la enseñanza y la práctica clínica en un entorno seguro y controlado. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
