La incorporación de algoritmos de inteligencia artificial (IA) en la educación superior enfrenta desafíos relacionados con la limitada infraestructura tecnológica, la falta de capacitación adecuada para los docentes y la carencia de herramientas contextualizadas para los entornos académicos. El objetivo de esta investigación fue diseñar e implementar un sistema de reconocimiento de imágenes turísticas basado en IA, con el propósito de enriquecer la experiencia de aprendizaje de los estudiantes universitarios. Para ello, se empleó una metodología aplicada, con enfoque mixto, nivel descriptivo y diseño no experimental. La muestra estuvo compuesta por 186 estudiantes de ingeniería, a quienes se les aplicaron encuestas estructuradas y una guía de observación. La validez de los instrumentos, cuestionario y formato de observación, fue determinada por juicio de expertos, y su ...

The use of eggshell membranes has been essential in aspects of practical medicine. Identifying knowledge gaps is essential to promote future research and improve the inclusivity and depth of critical areas identified in the current literature. This warrants attention to aspects that guarantee approaches to investigating the properties of this biomaterial in regenerative treatments.

Research on augmented reality-based mobile applications has established itself as a key component for educational and therapeutic innovation in children with Autism Spectrum Disorder (ASD). However, it is important to note that many studies present methodological limitations, such as small sample sizes, heterogeneity in interventions, and technological barriers that hinder their large-scale implementation.  

Objective: To present the development of a web application prototype based on Artificial Intelligence (AI) for the early detection of respiratory diseases, in order to explore its applicability in timely diagnostic support. Materials and Methods: It uses the agile Scrumban methodology, which combines the Scrum structure with the flexibility of Kanban, allowing adaptive workflow management. The prototype design included the integration of machine learning models, such as convolutional neural networks (CNNs), applied to simulated and open-access clinical data. Expected results: The prototype incorporates a web interface aimed at healthcare professionals, with functionalities for patient management and preliminary data analysis using AI. Its application is expected to improve the accuracy of initial diagnosis and facilitate integration in resource-limited settings. Conclusions: This advance...

The neonatal mortality has remained one of the main problems, being even more recurrent in regions with vulnerable populations or high poverty rates, where most of these cases die due to inadequate, preventable care. This study seeks to explore the use of the metaverse to improve prenatal psychoprophylaxis by providing an immersive virtual environment that facilitates remote interaction between specialist physicians and pregnant women. A free methodology was used, ranging from planning and avatar selection to implementation and launch. The results demonstrated that the metaverse is a viable environment to improve accessibility, interaction, and prenatal care. In conclusion, this innovative approach could make prenatal care more interactive.