REVISIÓN DEL PAPEL DE LA INTELIGENCIA ARTIFICIAL EN LAS TÉCNICAS DE REPRODUCCIÓN ASISTIDA
DOI:
https://doi.org/10.70187/recisatec.v5i3.384Palabras clave:
Inteligencia artificial, Técnicas de reproducción asistida, Estimulación ovárica, Ovocitos, Semen.Resumen
Los métodos basados en inteligencia artificial (IA) son ideales para manipular, procesar y analizar grandes volúmenes de datos generados durante las etapas de las Técnicas de Reproducción Asistida (TRA). Estos datos pueden ser de diversos tipos, incluyendo números, textos e imágenes. Esto puede ocurrir durante la evaluación del potencial reproductivo de la paciente con el fin de individualizar los protocolos y optimizar las posibilidades de embarazo. Han surgido como herramientas objetivas, cuantificables y no invasivas para un análisis rápido y preciso, aumentando las probabilidades de éxito de los tratamientos. El objetivo de esta revisión es examinar exhaustivamente la literatura y explorar en orden cronológico los últimos avances en IA, específicamente en las etapas de TRA, incluyendo la estimulación ovárica controlada y el análisis de ovocitos y semen. Se resumieron 19 artículos publicados entre 2021 y 2025, extraídos de dos bases de datos electrónicas, utilizando los siguientes términos: "fertilización in vitro", "estimulación ovárica", "desencadenante", "ovocitos", "espermatozoides", "Inteligencia Artificial", "Aprendizaje Profundo" y "Aprendizaje Automático". La revisión, además de ayudar a los investigadores a obtener una comprensión más completa del estado y las tendencias futuras del trabajo de IA en TRA, permitirá a los investigadores interdisciplinarios proponer técnicas combinadas para llevar a cabo enfoques individualizados que reduzcan los impactos socioeconómicos y posiblemente ambientales.
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