{"id":64380,"date":"2026-10-30T21:01:46","date_gmt":"2026-10-30T20:01:46","guid":{"rendered":"https:\/\/carlosoconnor.es\/?p=64380"},"modified":"2026-10-30T21:01:59","modified_gmt":"2026-10-30T20:01:59","slug":"aprendizaje-automatico-fotogrametria-craneofacial-y-analisis-acustico-del-habla-para-detectar-aos","status":"publish","type":"post","link":"https:\/\/carlosoconnor.es\/en\/aprendizaje-automatico-fotogrametria-craneofacial-y-analisis-acustico-del-habla-para-detectar-aos\/","title":{"rendered":"Aprendizaje autom\u00e1tico, fotogrametr\u00eda craneofacial y an\u00e1lisis ac\u00fastico del habla para detectar AOS"},"content":{"rendered":"<p class=\"wp-block-paragraph\">La revista Life en un art\u00edculo reciente se eval\u00faa el uso de aprendizaje autom\u00e1tico (machine learning) combinando fotogrametr\u00eda craneofacial y an\u00e1lisis ac\u00fastico del habla para el screening no invasivo de la Apnea Obstructiva del Sue\u00f1o (AOS). La investigaci\u00f3n cuenta con un dise\u00f1o metodol\u00f3gico riguroso mediante validaci\u00f3n cruzada anidada en una muestra de 109 adultos; aunque sus resultados son s\u00f3lidos y prometedores (alcanzando un AUC-ROC de 0.766 en clasificaci\u00f3n), deben tomarse con cautela debido al tama\u00f1o muestral relativamente reducido y a la baja especificidad observada en los modelos. El hallazgo clave es que los descriptores craneofaciales aportaron la contribuci\u00f3n predictiva m\u00e1s consistente para identificar la presencia de AOS, mientras que a\u00f1adir variables ac\u00fasticas del habla no mostr\u00f3 una ventaja discriminativa contundente, confirmando que la fenotipificaci\u00f3n morfol\u00f3gica externa es un pilar diagn\u00f3stico sumamente fiable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Enlace de referencia: https:\/\/www.mdpi.com\/2075-1729\/16\/10\/1748<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">#MedicinaDelSue\u00f1o #ApneaDelSue\u00f1o #TerapiaMiofuncional #Otorrinolaringolog\u00eda #InteligenciaArtificial #MachineLearning #ScreeningM\u00e9dico #Innovaci\u00f3nM\u00e9dica #SaludRespiratoria<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/carlosoconnor.es\/wp-content\/uploads\/2026\/10\/iahabla.png\" alt=\"iahabla\" class=\"wp-image-64381\"\/><figcaption class=\"wp-element-caption\">iahabla<\/figcaption><\/figure>","protected":false},"excerpt":{"rendered":"<p>La revista Life en un art\u00edculo reciente se eval\u00faa el uso de aprendizaje autom\u00e1tico (machine learning) combinando fotogrametr\u00eda craneofacial y an\u00e1lisis ac\u00fastico del habla para el screening no invasivo de&hellip;<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-64380","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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