{"id":25156,"date":"2022-05-10T08:28:06","date_gmt":"2022-05-10T13:28:06","guid":{"rendered":"https:\/\/saluddigital.com\/?p=25156"},"modified":"2025-10-20T11:58:14","modified_gmt":"2025-10-20T17:58:14","slug":"plataformas-de-inteligencia-artificial-puede-facilitar-el-diagnostico-de-autismo","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/noticias\/plataformas-de-inteligencia-artificial-puede-facilitar-el-diagnostico-de-autismo\/","title":{"rendered":"Artificial Intelligence platforms can facilitate the diagnosis of autism"},"content":{"rendered":"
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A study published in Nature shows that autism spectrum disorder can be diagnosed even from the first 18 months of life of a pediatric patient, thanks to the application of Artificial Intelligence (AI).<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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American researchers published the study "Evaluation of a medical device based on artificial intelligence for the diagnosis of autism spectrum disorder", which tested the accuracy of an AI-based software (software as Medical Devices - SaMD), to support professionals of health in primary care establishments in the diagnosis of autism spectrum disorder (ASD).<\/p>

This AI-based device combines behavioral characteristics of three different inputs into a machine learning algorithm, a caregiver questionnaire, the analysis of two short home videos, and a primary care questionnaire. \u201cThis study compared device outcomes with diagnostic agreement of two or more independent specialists in a cohort of children aged 18 to 72 months with developmental delay problems (425 study completers, 36% female, 29% ASD prevalence )\u201d, explain the authors.<\/p>

ASD is one of the most common developmental disorders, therefore it is necessary to obtain an early diagnosis to obtain better results in long-term neurological development. An early diagnosis of ASD improves the social and communication skills of patients.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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In the United States, 271PT2T of children with ASD reach 8 years of age without being diagnosed, and diagnosis is more difficult to obtain in rural areas, low-income socioeconomic groups, non-whites, and women.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The study published in Nature<\/em>, evaluates a support SaMD for the diagnosis of ASD in children aged 18 to 72 months. The SaMD consists of a caregiver-facing mobile app, a video analytics portal, a healthcare provider portal, the machine learning algorithm that drives the Device's outcomes, and various supporting services and infrastructure and software. It also includes privacy and security encryption and infrastructure for compliance with HIPAA and other best practices.<\/p>

The interfaces are designed to work centered on the user, and with ease in navigation. The devices include two versions of questionnaires according to the age of 18 to 47 months and 48 to 71 months. Both versions are adapted to reflect developmentally relevant characteristics of the infant. The two age groups get 64 questions plus another set of additional questions depending on the age group.
"The content of the questionnaire comes from previously conducted feature classification experiments to identify behavioral, executive functioning, and language and communication features that are most predictive of an ASD diagnosis," the study explains.<\/p>

The platform works on iOS and Android systems, on phones or tablets, as well as on Mac and Windows operating systems.<\/p>

Learn more about this SaMD at the following link: \u00a0https:\/\/www.nature.com\/articles\/s41746-022-00598-6<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/s41746-022-00598-6<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Estudio publicado en Nature, muestra que el trastorno del espectro autista, puede ser diagnosticado incluso desde los primero 18 meses de vida de un paciente pedi\u00e1trico, gracias a la aplicaci\u00f3n de Inteligencia Artificial (IA). Investigadores estadounidenses publicaron el estudio \u201cEvaluaci\u00f3n de un dispositivo m\u00e9dico basado en inteligencia artificial para el diagn\u00f3stico del trastorno del espectro autista\u201d, el cual prob\u00f3 la precisi\u00f3n de un software basado en IA (software as Medical Devices- SaMD), para apoyar a profesionales de salud en establecimientos de atenci\u00f3n primaria en el diagn\u00f3stico de Trastorno del espectro autista (TEA). Este dispositivo basado en IA, combina caracter\u00edsticas de comportamiento de tres entradas distintas en un algoritmo de aprendizaje autom\u00e1tico, un cuestionario para el cuidador, el an\u00e1lisis de dos videos caseros cortos y un cuestionario de atenci\u00f3n primaria. \u201cEste estudio compar\u00f3 los resultados del dispositivo con el acuerdo de diagn\u00f3stico de dos o m\u00e1s especialistas independientes en una cohorte de ni\u00f1os de 18 a 72 meses con problemas de retraso en el desarrollo (425 que completaron el estudio, 36% mujeres, 29% prevalencia de TEA)\u201d, explican los autores. El TEA es uno de los trastornos del desarrollo m\u00e1s comunes, por ello es necesario obtener un diagn\u00f3stico temprano importancia para obtener mejores resultados en el desarrollo neurol\u00f3gico a largo plazo. Un diagn\u00f3stico temprano de TEA, mejora las habilidades sociales y de comunicaci\u00f3n de los pacientes. En Estados Unidos, el 27% de los ni\u00f1os con TEA llegan a los 8 a\u00f1os sin ser diagnosticados, adem\u00e1s el diagn\u00f3stico es m\u00e1s dif\u00edcil de obtener en \u00e1reas rurales, grupos socioecon\u00f3micos de bajos ingresos, personas no blancas y mujeres. El estudio publicado en Nature, eval\u00faa un SaMD de apoyo para el diagn\u00f3stico de TEA en ni\u00f1os de 18 a 72 meses. El SaMD consta de una aplicaci\u00f3n m\u00f3vil orientada al cuidador, un portal de an\u00e1lisis de video, un portal para proveedores de atenci\u00f3n m\u00e9dica, el algoritmo de aprendizaje autom\u00e1tico que impulsa los resultados del Dispositivo y varios servicios e infraestructura de soporte y software de respaldo. Asimismo, incluye cifrado de privacidad y seguridad e infraestructura para el cumplimiento con HIPAA y otras mejores pr\u00e1cticas. Las interfaces est\u00e1n dise\u00f1adas para trabajar centradas en el usuario, y con facilidades en la navegaci\u00f3n.  Los dispositivos incluyen dos versiones de cuestionarios de acuerdo a la edad de 18 a 47 meses y de 48 a 71 meses. Ambas versiones se adaptar para reflejar caracter\u00edsticas relevantes en el desarrollo del infante.  Los dos grupos de edad obtienen 64 preguntas m\u00e1s otro grupo de preguntas adicionales depende del grupo de edad. \u201cEl contenido del cuestionario proviene de experimentos de clasificaci\u00f3n de caracter\u00edsticas realizados previamente para identificar caracter\u00edsticas conductuales, de funcionamiento ejecutivo y de lenguaje y comunicaci\u00f3n que predicen al m\u00e1ximo un diagn\u00f3stico de TEA\u201d, explica el estudio. La plataforma funciona en sistemas iOS y Android, en tel\u00e9fonos o tabletas, asimismo, en sistemas operativos Mac y Windows. Conoce m\u00e1s sobre este SaMD en el siguiente enlace:  https:\/\/www.nature.com\/articles\/s41746-022-00598-6 BIBLIOGRAF\u00cdA NATURE https:\/\/www.nature.com\/articles\/s41746-022-00598-6<\/p>","protected":false},"author":1,"featured_media":25157,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3400,3393,160,3396],"tags":[145],"class_list":["post-25156","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-diagnostico","category-inteligencia-artificial-y-ciencia","category-noticias","category-uso-de-plataformas-digitales","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/25156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=25156"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/25156\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/25157"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=25156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=25156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=25156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}