{"id":14985,"date":"2021-05-07T10:03:30","date_gmt":"2021-05-07T15:03:30","guid":{"rendered":"https:\/\/saluddigital.com\/?p=14985"},"modified":"2025-10-21T12:45:49","modified_gmt":"2025-10-21T18:45:49","slug":"universidad-canadiense-desarrollara-modelo-de-inteligencia-artificial-para-apoyar-diagnostico-de-depresion","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/universidad-canadiense-desarrollara-modelo-de-inteligencia-artificial-para-apoyar-diagnostico-de-depresion\/","title":{"rendered":"Canadian university to develop Artificial Intelligence model to support depression diagnosis"},"content":{"rendered":"
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The University of Alberta in Canada has developed an Artificial Intelligence (AI)-based screening tool to assist physicians in diagnosing depression.<\/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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Depression is a common illness, affecting approximately 1 in 10 adults worldwide. The World Health Organization estimates that more than 300 million people worldwide suffer from depression. However, only 30% of people with depression receive professional help for treatment.<\/p>

Despite the prevalence of depression worldwide, diagnosis of this disease remains difficult as there are no biological tests and symptoms vary depending on the individual patient.<\/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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\"We don\u2019t have a clear picture of exactly where depression emerges, although researchers have made substantial progress in the biological underpinnings of depression,\" explained Bo Cao, assistant professor in the Department of Psychiatry at the University of Alberta and leader of the project.<\/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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To develop the AI model, the researchers will compare the profiles of 8,000 people diagnosed with major depressive disorder (MDD) with a control group consisting of data from more than 200,000 people who have not been diagnosed with depression.<\/p>

The data of the 8,000 people were collected from UK Biobank<\/em>, the most important biomedical database in the United Kingdom, since it has genetic and health information on more than 500,000 British men and women. This database includes medical records, brain scans, social determinants, personal factors, etc.<\/p>

The researchers will be able to identify, thanks to this information, whether it is possible to determine whether MDD can be identified through social, personal and health records, as well as improvements in magnetic resonance imaging to improve diagnosis.<\/p>

The tool will be developed over the next 18 months and if it proves effective it will be applied in the Alberta health system for verification.<\/p>

The project has funding from the Precision Health Seed Fund Award<\/em>, an award that brings together scientists from Canada and the UK specializing in computational psychiatry, AI, psychology and cognitive neuroscience. \"Our goal is to provide precision medicine in mental health, but that\u2019s going to take decades. However, we dare to work toward this goal now with the support of our university and other visionary philanthropists and agencies,\" explained Cao, the project leader.<\/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

AI MEAS<\/strong><\/p>

https:\/\/ai-med.io\/more-news\/ai-to-help-diagnose-depression-more-accurately\/<\/a><\/p>

\u00a0<\/strong><\/p>

SCIELO<\/strong><\/p>

http:\/\/www.scielo.org.mx\/scielo.php?script=sci_arttext&pid=S2007-84472017000200073#:~:text=A%20nivel%20mundial%2C%20aproximadamente%20350,de%20los%20casos%20(3)<\/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":"

La Universidad Alberta en Canad\u00e1 ha desarrollado una herramienta de cribado basada en Inteligencia Artificial (IA), para ayudar a los m\u00e9dicos en el diagn\u00f3stico de depresi\u00f3n. La depresi\u00f3n es una enfermedad com\u00fan, afecta a aproximadamente 1 de cada 10 adultos en el mundo. La Organizaci\u00f3n Mundial de la Salud estima que m\u00e1s de 300 millones de personas a nivel mundial sufren de depresi\u00f3n. Sin embargo, solamente el 30% de las personas con depresi\u00f3n recibe ayuda profesional para su tratamiento. A pesar de la prevalencia de depresi\u00f3n en el mundo, el diagn\u00f3stico de esta enfermedad sigue siendo dif\u00edcil ya que no existen pruebas biol\u00f3gicas y los s\u00edntomas var\u00edan dependiendo de cada paciente. “No tenemos una imagen clara de d\u00f3nde surge exactamente la depresi\u00f3n, aunque los investigadores han logrado avances sustanciales en los fundamentos biol\u00f3gicos de la depresi\u00f3n”, explic\u00f3 Bo Cao, profesor asistente en el Departamento de Psiquiatr\u00eda de la Universidad de Alberta y l\u00edder del proyecto. Para el desarrollo del modelo de IA, los investigadores comparar\u00e1n los perfiles de 8 mil personas diagnosticadas con trastorno depresivo mayor (MDD, en ingl\u00e9s), con el grupo de control que est\u00e1 formado por datos de m\u00e1s de 200 mil personas que no han tenido diagn\u00f3stico de depresi\u00f3n. Los datos de las 8 mil personas, fueron recolectados de UK Biobank, la base de datos biom\u00e9dica m\u00e1s importante de Reino Unido, ya que cuenta con informaci\u00f3n gen\u00e9tica y de salud de m\u00e1s de 500 mil brit\u00e1nicos y brit\u00e1nicas. Esta base cuenta con registros m\u00e9dicos, esc\u00e1neres cerebrales, determinantes sociales, factores personales, etc. Los investigadores podr\u00e1n identificar gracias a dicha informaci\u00f3n si es posible determinar si la MDD puede identificarse a trav\u00e9s de registros sociales, personales y de salud, as\u00ed como mejoras en la resonancia magn\u00e9tica para mejorar el diagn\u00f3stico. La herramienta ser\u00e1 desarrollada durante los pr\u00f3ximos 18 meses y si resulta eficaz ser\u00e1 aplicada en el sistema de salud de Alberta para su verificaci\u00f3n. El proyecto cuenta con financiaci\u00f3n de Precision Health Seed Fund Award, un premio que re\u00fane a cient\u00edficos de Canad\u00e1 y Reino Unido especializados en psiquiatr\u00eda computacional, IA, psicolog\u00eda y neurociencia cognitiva. \u201cNuestro objetivo es proporcionar medicina de precisi\u00f3n en salud mental, pero eso llevar\u00e1 d\u00e9cadas. Sin embargo, nos atrevemos a trabajar hacia este objetivo ahora con el apoyo de nuestra universidad y otros fil\u00e1ntropos y agencias visionarios\u201d, explic\u00f3 Cao, el l\u00edder del proyecto. BIBLIOGRAF\u00cdA AI MED https:\/\/ai-med.io\/more-news\/ai-to-help-diagnose-depression-more-accurately\/   SCIELO http:\/\/www.scielo.org.mx\/scielo.php?script=sci_arttext&pid=S2007-84472017000200073#:~:text=A%20nivel%20mundial%2C%20aproximadamente%20350,de%20los%20casos%20(3).<\/p>","protected":false},"author":1,"featured_media":14987,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393],"tags":[145],"class_list":["post-14985","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-inteligencia-artificial-y-ciencia","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/14985","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=14985"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/14985\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/14987"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=14985"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=14985"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=14985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}