Prototipo basado en inteligencia artificial para el entrenamiento del procedimiento quirúrgico de canalización venosa.
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| 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] |
| Copyright of UIS Ingenierías is the property of Revista UIS Ingenierias and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193665587 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prototipo basado en inteligencia artificial para el entrenamiento del procedimiento quirúrgico de canalización venosa. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: AI-based prototype for training in the surgical procedure of venous cannulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rozo-García%2C+Florelva%22">Rozo-García, Florelva</searchLink><relatesTo>1</relatesTo><i> florelva@unipamplona.edu.co</i><br /><searchLink fieldCode="AR" term="%22Eduardo+Gualdrón-Guerrero%2C+Oscar%22">Eduardo Gualdrón-Guerrero, Oscar</searchLink><relatesTo>1</relatesTo><i> oscar.gualdron@unipamplona.edu.co</i><br /><searchLink fieldCode="AR" term="%22Florez-Vera%2C+Johan+D%2E%22">Florez-Vera, Johan D.</searchLink><relatesTo>2</relatesTo><i> johan.florez3@unipamplona.edu.co</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22UIS+Ingenierías%22">UIS Ingenierías</searchLink>. ene-mar2026, Vol. 25 Issue 1, p1-19. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Venous+puncture%22">Venous puncture</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+simulation%22">Medical simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+education%22">Medical education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Wearable+technology%22">Wearable technology</searchLink><br /><searchLink fieldCode="DE" term="%22Prosthetics%22">Prosthetics</searchLink><br /><searchLink fieldCode="DE" term="%22Expertise%22">Expertise</searchLink><br /><searchLink fieldCode="DE" term="%22Operative+surgery%22">Operative surgery</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: 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] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of UIS Ingenierías is the property of Revista UIS Ingenierias and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193665587 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18273/revuin.v25n1-2026001 Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 19 StartPage: 1 Subjects: – SubjectFull: Venous puncture Type: general – SubjectFull: Medical simulation Type: general – SubjectFull: Medical education Type: general – SubjectFull: Computer assisted instruction Type: general – SubjectFull: Wearable technology Type: general – SubjectFull: Prosthetics Type: general – SubjectFull: Expertise Type: general – SubjectFull: Operative surgery Type: general Titles: – TitleFull: Prototipo basado en inteligencia artificial para el entrenamiento del procedimiento quirúrgico de canalización venosa. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rozo-García, Florelva – PersonEntity: Name: NameFull: Eduardo Gualdrón-Guerrero, Oscar – PersonEntity: Name: NameFull: Florez-Vera, Johan D. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: ene-mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16574583 Numbering: – Type: volume Value: 25 – Type: issue Value: 1 Titles: – TitleFull: UIS Ingenierías Type: main |
| ResultId | 1 |
