{"id":13265,"date":"2024-07-04T18:38:04","date_gmt":"2024-07-04T18:38:04","guid":{"rendered":"https:\/\/dailyai.com\/?p=13265"},"modified":"2024-07-04T23:28:31","modified_gmt":"2024-07-04T23:28:31","slug":"new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/07\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\/","title":{"rendered":"Un nuevo sistema de IA identifica con \u00e9xito la enfermedad de Alzheimer mediante el an\u00e1lisis del habla"},"content":{"rendered":"<p><b>Mediante el an\u00e1lisis de los patrones del habla, investigadores de la Universidad de Boston han desarrollado un sistema de IA capaz de predecir con una precisi\u00f3n cercana al 80% si una persona con deterioro cognitivo leve desarrollar\u00e1 la enfermedad de Alzheimer en un plazo de seis a\u00f1os.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">En <\/span><a href=\"https:\/\/alz-journals.onlinelibrary.wiley.com\/doi\/10.1002\/alz.13886\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">estudiar<\/span><\/a><span style=\"font-weight: 400;\">publicado en la revista Alzheimer's &amp; Dementia, utiliza la IA para extraer valiosa informaci\u00f3n diagn\u00f3stica de las evaluaciones cognitivas, lo que acelera el diagn\u00f3stico y, a su vez, el tratamiento del Alzheimer.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">El modelo de IA del equipo alcanz\u00f3 una precisi\u00f3n de 78,5% y una sensibilidad de 81,1% en la predicci\u00f3n de la progresi\u00f3n del deterioro cognitivo leve (DCL) a la enfermedad de Alzheimer en un plazo de seis a\u00f1os. Esto supera a otras pruebas tradicionales y no invasivas.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pero lo m\u00e1s importante es que el sistema se basa \u00fanicamente en datos f\u00e1ciles de obtener: el habla transcrita de las evaluaciones cognitivas e informaci\u00f3n demogr\u00e1fica b\u00e1sica como la edad, el sexo y el nivel educativo. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">En las evaluaciones cognitivas, como la prueba de denominaci\u00f3n de Boston, el m\u00e9dico habla con el paciente. El audio de estas pruebas suele grabarse para su posterior an\u00e1lisis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Quer\u00edamos predecir lo que ocurrir\u00eda en los pr\u00f3ximos seis a\u00f1os, y hemos descubierto que podemos hacer esa predicci\u00f3n con una confianza y precisi\u00f3n relativamente buenas\". <\/span><a href=\"https:\/\/www.bu.edu\/articles\/2024\/new-ai-program-could-predict-alzheimers-disease\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">dijo Ioannis (Yannis) Paschalidis<\/span><\/a><span style=\"font-weight: 400;\">director del Instituto Rafik B. Hariri de Inform\u00e1tica y Ciencias e Ingenier\u00eda Computacionales de la Universidad de Boston, y uno de los investigadores principales del estudio.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Si se puede predecir lo que va a ocurrir, se tiene m\u00e1s oportunidad y margen de tiempo para intervenir con f\u00e1rmacos y, al menos, intentar mantener la estabilidad del estado y evitar la transici\u00f3n a formas m\u00e1s graves de demencia\".<\/span><\/p>\n<h2>M\u00e1s informaci\u00f3n sobre el estudio<\/h2>\n<p><span style=\"font-weight: 400;\">He aqu\u00ed un desglose de c\u00f3mo funcion\u00f3 el estudio:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">El equipo de investigaci\u00f3n empez\u00f3 recopilando grabaciones de audio de evaluaciones cognitivas de 166 participantes diagnosticados de deterioro cognitivo leve (DCL). A continuaci\u00f3n, realizaron un seguimiento de estas personas durante un periodo de seis a\u00f1os para determinar qui\u00e9nes progresaban hacia la enfermedad de Alzheimer y qui\u00e9nes permanec\u00edan estables.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">El equipo utiliz\u00f3 tecnolog\u00eda avanzada de reconocimiento de voz para transcribir las grabaciones de audio y preparar los datos para el an\u00e1lisis.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A continuaci\u00f3n, los investigadores aplicaron sofisticadas t\u00e9cnicas de procesamiento del lenguaje natural para extraer una amplia gama de rasgos y patrones ling\u00fc\u00edsticos que, en su opini\u00f3n, podr\u00edan servir como indicadores del riesgo de padecer Alzheimer.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\">A continuaci\u00f3n, utilizaron las caracter\u00edsticas del habla y la informaci\u00f3n demogr\u00e1fica para desarrollar m\u00faltiples modelos de aprendizaje autom\u00e1tico.<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Estos modelos de IA se dise\u00f1aron para predecir la probabilidad de que una persona determinada pasara de un deterioro cognitivo leve a la enfermedad de Alzheimer en funci\u00f3n de sus patrones de habla y caracter\u00edsticas personales \u00fanicas.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Los modelos alcanzaron una precisi\u00f3n de 78,5% y una sensibilidad de 81,1% a la hora de predecir qu\u00e9 participantes desarrollar\u00edan Alzheimer en el periodo de estudio de seis a\u00f1os.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">En un an\u00e1lisis final, el equipo de investigaci\u00f3n identific\u00f3 las pruebas cognitivas con mayor poder predictivo del riesgo de Alzheimer, como la Prueba de Nombres de Boston, las pruebas de similitud y la Escala de Inteligencia Adulta de Wechsler.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">\"Lo digital es la nueva sangre\", afirma Rhoda Au, profesora de la Facultad de Medicina Chobanian &amp; Avedisian de la Universidad de Boston y coautora del estudio.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Puedes recopilarla, analizarla para lo que se sabe hoy, almacenarla y volver a analizarla para lo nuevo que surja ma\u00f1ana\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Uno de los aspectos m\u00e1s interesantes del estudio descubri\u00f3 que ciertas partes de las evaluaciones cognitivas eran especialmente predictivas del riesgo futuro de Alzheimer.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"Nuestro an\u00e1lisis revel\u00f3 que las subpruebas relacionadas con cuestiones demogr\u00e1ficas, la Prueba de Nombres de Boston, las pruebas de similitud y la Escala de Inteligencia de Adultos de Wechsler surgieron como las principales caracter\u00edsticas que impulsaron el rendimiento de nuestro modelo\", se\u00f1alan los investigadores.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Esto podr\u00eda servir de base para el desarrollo de evaluaciones cognitivas m\u00e1s espec\u00edficas, lo que agilizar\u00eda a\u00fan m\u00e1s el proceso de cribado.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Aunque los resultados son prometedores, los investigadores admiten la necesidad de seguir valid\u00e1ndolos en poblaciones m\u00e1s amplias y diversas.\u00a0<\/span><\/p>\n<h2>El reconocimiento del habla puede abrir la puerta al diagn\u00f3stico precoz<\/h2>\n<p><span style=\"font-weight: 400;\">El an\u00e1lisis del habla ha demostrado ser una t\u00e9cnica valiosa para predecir el Alzheimer y otras enfermedades. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">En un <\/span><a href=\"https:\/\/dailyai.com\/es\/2024\/01\/innovative-ai-tool-cognospeak-promises-faster-dementia-diagnosis\/\"><span style=\"font-weight: 400;\">Estudio 2020<\/span><\/a><span style=\"font-weight: 400;\"> De forma similar al estudio de la Universidad de Boston, los investigadores de la Universidad de Sheffield demostraron la capacidad de su IA para distinguir entre participantes con enfermedad de Alzheimer o deterioro cognitivo leve y aquellos con trastorno cognitivo funcional o controles sanos con una precisi\u00f3n del 86,7%.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Los investigadores de Klick Labs tambi\u00e9n <\/span><a href=\"https:\/\/dailyai.com\/es\/2023\/10\/researchers-diagnose-diabetes-in-seconds-using-voice-recordings\/\"><span style=\"font-weight: 400;\">desarroll\u00f3 un modelo de IA<\/span><\/a><span style=\"font-weight: 400;\"> que puede detectar la diabetes de tipo 2 mediante breves grabaciones de voz de s\u00f3lo 6 a 10 segundos. <\/span><span style=\"font-weight: 400;\">La diabetes avanzada puede afectar a la voz a trav\u00e9s del da\u00f1o nervioso, la alteraci\u00f3n del flujo sangu\u00edneo y la sequedad bucal, lo que provoca cambios detectables.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">El estudio analiz\u00f3 18.000 grabaciones para identificar sutiles diferencias ac\u00fasticas entre individuos diab\u00e9ticos y no diab\u00e9ticos. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cuando se combin\u00f3 con factores como la edad y el IMC, el modelo alcanz\u00f3 una precisi\u00f3n m\u00e1xima de 89% para las mujeres y 86% para los hombres.<\/span><\/p>\n<p>En conjunto, estos estudios demuestran que las pruebas no invasivas y los m\u00e9todos de diagn\u00f3stico asistidos por IA podr\u00edan conducir a un tratamiento m\u00e1s r\u00e1pido y eficaz, incluso en ausencia de m\u00e9dicos especialistas y equipos.<\/p>","protected":false},"excerpt":{"rendered":"<p>Mediante el an\u00e1lisis de los patrones del habla, investigadores de la Universidad de Boston han desarrollado un sistema de IA capaz de predecir con una precisi\u00f3n de casi 80% si una persona con deterioro cognitivo leve desarrollar\u00e1 la enfermedad de Alzheimer en un plazo de seis a\u00f1os. El estudio, publicado en la revista Alzheimer's &amp; Dementia, utiliza la IA para extraer valiosa informaci\u00f3n diagn\u00f3stica de las evaluaciones cognitivas, lo que acelera el diagn\u00f3stico del Alzheimer y, a su vez, el tratamiento.  El modelo de IA del equipo alcanz\u00f3 una precisi\u00f3n de 78,5% y una sensibilidad de 81,1% en la predicci\u00f3n de la progresi\u00f3n del deterioro cognitivo leve (DCL) a la enfermedad de Alzheimer en un plazo de seis a\u00f1os. Esto supera a otras pruebas tradicionales y no invasivas. Pero lo m\u00e1s importante es que el sistema se basa en<\/p>","protected":false},"author":2,"featured_media":13269,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[353,204,178],"class_list":["post-13265","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-biology","tag-healthcare","tag-medicine"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>New AI system successfully identifies Alzheimer&#039;s disease using speech analysis | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2024\/07\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New AI system successfully identifies Alzheimer&#039;s disease using speech analysis | DailyAI\" \/>\n<meta property=\"og:description\" content=\"By analyzing speech patterns, researchers at Boston University have developed an AI system that can predict with nearly 80% accuracy whether someone with mild cognitive impairment will develop Alzheimer&#8217;s disease within six years. The study, published in the journal Alzheimer&#8217;s &amp; Dementia, uses AI to extract valuable diagnostic information from cognitive assessments, accelerating Alzheimer\u2019s diagnosis and, in turn, treatment.\u00a0 The team&#8217;s AI model achieved an accuracy of 78.5% and a sensitivity of 81.1% in predicting progression from mild cognitive impairment (MCI) to Alzheimer&#8217;s disease within a six-year timeframe. This beats other traditional and non-invasive tests. Crucially, though, the system relies\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2024\/07\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-04T18:38:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-04T23:28:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/DALL\u00b7E-2024-07-04-19.41.55-A-high-quality-landscape-image-of-an-AI-brain-analyzing-speech-patterns-to-identify-Alzheimers-disease.-The-scene-is-simple-and-futuristic-featurin.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\\\/\"},\"author\":{\"name\":\"Sam Jeans\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/711e81f945549438e8bbc579efdeb3c9\"},\"headline\":\"New AI system successfully identifies Alzheimer&#8217;s disease using speech analysis\",\"datePublished\":\"2024-07-04T18:38:04+00:00\",\"dateModified\":\"2024-07-04T23:28:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\\\/\"},\"wordCount\":764,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/new-ai-model-successfully-identifies-alzheimers-disease-using-speech-analysis\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/DALL\u00b7E-2024-07-04-19.41.55-A-high-quality-landscape-image-of-an-AI-brain-analyzing-speech-patterns-to-identify-Alzheimers-disease.-The-scene-is-simple-and-futuristic-featurin.webp\",\"keywords\":[\"Biology\",\"Healthcare\",\"Medicine\"],\"articleSection\":[\"Ethics &amp; 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The study, published in the journal Alzheimer&#8217;s &amp; Dementia, uses AI to extract valuable diagnostic information from cognitive assessments, accelerating Alzheimer\u2019s diagnosis and, in turn, treatment.\u00a0 The team&#8217;s AI model achieved an accuracy of 78.5% and a sensitivity of 81.1% in predicting progression from mild cognitive impairment (MCI) to Alzheimer&#8217;s disease within a six-year timeframe. This beats other traditional and non-invasive tests. 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