{"id":28302,"date":"2022-07-04T09:38:15","date_gmt":"2022-07-04T14:38:15","guid":{"rendered":"https:\/\/saluddigital.com\/?p=28302"},"modified":"2025-10-20T11:36:05","modified_gmt":"2025-10-20T17:36:05","slug":"utilizan-aprendizaje-profundo-para-la-evaluacion-de-tipos-de-demencia-en-alzheimer","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/utilizan-aprendizaje-profundo-para-la-evaluacion-de-tipos-de-demencia-en-alzheimer\/","title":{"rendered":"They use deep learning for the evaluation of types of dementia in Alzheimer's"},"content":{"rendered":"
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A new study published in Nature Communications used multimodal deep learning to assess dementia stemming from Alzheimer's disease.<\/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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Every year 10 million new cases of dementia are registered, and most of these are derived from Alzheimer's. Therefore, it is necessary to create and develop new techniques to improve diagnoses with this type of cognitive impairment. The article published in Nature Communications<\/em>: \u201cMultimodal deep learning for the evaluation of Alzheimer's disease dementia\u201d, explores the development of a deep learning framework for the diagnosis of dementia.<\/p>

The deep learning model was able to identify people with normal cognition, with mild cognitive impairment and with dementia. The data collected to train this model was derived from routinely collected clinical information, as well as demographic data, medical history, neuropsychological tests, neuroimaging, and functional assessments.<\/p>

The diagnostic accuracy of the frames was evaluated by comparing them with practicing neurologists and neuroradiologists. The researchers then applied computer vision interpretability methods to show that specific disease patterns had been identified by their models.<\/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 this sense, the models were able to track different patterns of degenerative changes throughout the brain, as well as the presence of neuropathological lesions. "Our work demonstrates methodologies for validating computational predictions against established medical diagnostic standards," the authors explain.<\/p>

The study presented various machine learning and deep learning models, capable of processing multimodal clinical data, and thus perform differential diagnoses of Alzheimer's. "Importantly, our models are able to work with flexible combinations of imaging and non-imaging data, and their performance generalizes well across multiple datasets presenting a wide range of cognitive states and dementia subtypes," explains Dr. Article.<\/p>

\u00a0<\/p>

However, the authors acknowledged the limitations of the study, such as the lack of diagnoses of mixed dementia, since the model identifies by default only the diagnosis of Alzheimer's. In future works, according to the authors, they may include the possibility of classification of multiple labels that favors the diagnosis of mixed dementias.<\/p>

Check the full study at the following link:<\/p>

https:\/\/www.nature.com\/articles\/s41467-022-31037-5<\/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\/s41467-022-31037-5<\/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":"

Un nuevo estudio publicado en Nature Communications, utiliz\u00f3 aprendizaje profundo multimodal para evaluar demencia derivada de enfermedad de Alzheimer. Anualmente se registran 10 millones de nuevos casos de demencia, y la gran parte de estos se deriva de Alzheimer. Por ello es necesaria la creaci\u00f3n y el desarrollo de nuevas t\u00e9cnicas para mejorar los diagn\u00f3sticos con este tipo de deterioros cognitivos. El art\u00edculo publicado en Nature Communications: \u201cAprendizaje profundo multimodal para la evaluaci\u00f3n de la demencia por enfermedad de Alzheimer\u201d, explora el desarrollo de un marco de aprendizaje profundo para el diagn\u00f3stico de demencia. El modelo de aprendizaje profundo logr\u00f3 identificar a personas con cognici\u00f3n normal, con deterioro cognitivo leve y con demencia.\u00a0 Los datos recopilados para entrenar a este modelo se obtuvieron de informaci\u00f3n cl\u00ednica recopilada de forma rutinaria, as\u00ed como datos demogr\u00e1ficos, historial m\u00e9dico, pruebas neuropsicol\u00f3gicas, neuroim\u00e1genes y evaluaciones funcionales. La precisi\u00f3n diagn\u00f3stica de los marcos fue evaluada al compararlos con el ejercicio de los neur\u00f3logos y neuro radi\u00f3logos. Posteriormente, los investigadores aplicaron m\u00e9todos de interpretabilidad por medio de visi\u00f3n por computadora, para mostrar que los patrones espec\u00edficos de la enfermedad hab\u00edan sido identificados por sus modelos. En este sentido, los modelos lograron rastrear patrones distintos de cambios degenerativos en todo el cerebro, as\u00ed como la presencia de lesiones neuropatol\u00f3gicas. \u201cNuestro trabajo demuestra metodolog\u00edas para validar predicciones computacionales con est\u00e1ndares establecidos de diagn\u00f3stico m\u00e9dico\u201d, explican los autores. El estudio present\u00f3 diversos modelos de aprendizaje autom\u00e1tico y aprendizaje profundo, capaces de procesar datos cl\u00ednicos multimodales, y as\u00ed realizar diagn\u00f3sticos diferenciales de Alzheimer. \u201cEs importante destacar que nuestros modelos son capaces de funcionar con combinaciones flexibles de datos de im\u00e1genes y no de im\u00e1genes, y su rendimiento se generaliza bien en m\u00faltiples conjuntos de datos que presentan una amplia gama de estados cognitivos y subtipos de demencia\u201d, explica el art\u00edculo. \u00a0 No obstante, los autores reconocieron las limitaciones del estudio como la falta de diagn\u00f3sticos de demencia mixta, ya que el modelo identifica por defecto solamente el diagn\u00f3stico de Alzheimer. En trabajos futuros, seg\u00fan indican los autores, pueden incluir la posibilidad de clasificaci\u00f3n de etiquetas m\u00faltiples que favorezca el diagn\u00f3stico de demencias mixtas. Consulta el estudio completo en el siguiente enlace: https:\/\/www.nature.com\/articles\/s41467-022-31037-5 BIBLIOGRAF\u00cdA NATURE https:\/\/www.nature.com\/articles\/s41467-022-31037-5<\/p>","protected":false},"author":1,"featured_media":28304,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3400,160],"tags":[145],"class_list":["post-28302","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-diagnostico","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/28302","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=28302"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/28302\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/28304"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=28302"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=28302"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=28302"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}