Medicina

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Subject: search.filters.subject.INTELIGENCIA ARTIFICIAL

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    INTELIGENCIA ARTIFICIAL Y SU USO EN LA RADIOGRAFÍA
    (Universidad Técnica de Ambato/ Facultad de Ciencias de Salud /Carrera de Medicina, 2024-09-25) Mejía Romero, Lizeth Samira; Zabala Haro, Alicia Monserrath
    A documentary review was carried out on the production and publication of research papers related to the study of the variable Artificial Intelligence and Radiology. The purpose of the bibliometric analysis proposed in this paper was to know the main characteristics of the volume of publications registered in Scopus database during the period 2017-2022 by Latin American institutions, achieving the identification of 48 publications. The information provided by said platform was organized by means of graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics were described, a qualitative analysis was carried out in order to refer to the position of different authors in relation to the proposed topic. Among the main findings, it is found that Brazil, with 32 publications, was the Latin American country with the highest scientific production registered in the nameof authors affiliated to institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction ofbibliographic material referring to the study was Medicine with 32 published documents,and the most used type of publication during the above-mentioned period was ConferenceArticles with 48% of the total scientific production.
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    IMPLEMENTACIÓN DE NUEVAS TECNOLOGÍAS EN EL TRATAMIENTO DE QUEMADURAS PEDIÁTRICAS: UNA REVISIÓN NARRATIVA
    (2024-09-24) Balseca Artos, Eddy Efren; Fiallos Brito, Edisson Javier
    Burns in children and adults exhibit pathophysiological differences derived from the anatomical and physiological characteristics of each age group, which is why burns are serious and require immediate medical attention. Calculating accurate total burned area is crucial, however, current methods such as the Lund and Browder table, the rule of nine, or two-dimensional plots are subject to inter-rater variation and severely overestimate the burned area. An inaccurate estimate of the extent of the burn generates unnecessary transfers to burn centers, fluid overload, increased hospital stay, and medium and long-term sequelae. To address these challenges, a series of applications for mobile phones and artificial intelligence have been evaluated, as well as the implementation of virtual reality, the use of skin substitutes and bioactive therapies that allow reducing costs in the hospital area. The development and implementation of therapeutic tools exemplifies how medicine is evolving; however, it is important to highlight the need to extend research in this field to optimize prognosis and quality of life.