{"id":15856,"date":"2021-06-21T10:11:47","date_gmt":"2021-06-21T15:11:47","guid":{"rendered":"https:\/\/saluddigital.com\/?p=15856"},"modified":"2025-10-21T12:33:49","modified_gmt":"2025-10-21T18:33:49","slug":"dispositivo-movil-ayuda-a-pacientes-a-recuperarse-de-covid-19-a-traves-de-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/dispositivo-movil-ayuda-a-pacientes-a-recuperarse-de-covid-19-a-traves-de-inteligencia-artificial\/","title":{"rendered":"Mobile device helps patients recover from COVID-19 through Artificial Intelligence"},"content":{"rendered":"
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Through a mobile kit, patients can be remotely monitored and assessed by machine learning to track their progress. <\/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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A pilot program developed at the University of Illinois and a startup funded by the National Institutes of Health (NIH) will allow COVID-19 patients to continue their recovery outside the hospital facilities.<\/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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It is a remote monitoring system, which through a kit that includes a pulse oximeter, a Bluetooth-enabled disposable sensor patch and a paired smartphone, uses machine learning to assess each patient's vital signs.<\/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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This system keeps clinicians on alert, in case of any variation in usual heart rate levels, for example. \u201cWhen you work in the emergency department it\u2019s sad to see patients who waited too long to come in for help. They would require intensive care on a ventilator. You couldn\u2019t help but ask, \u2018If we could have warned them four days before, could we have prevented all this?\u201d explained Terry Vanden Hoek, medical director and director of emergency medicine at the University of Illinois.<\/p>

Participants in the study, which evaluated its effectiveness, were mostly of African-American or Latin origin and most live with comorbidities, such as diabetes, obesity, hypertension, or have pulmonary conditions.<\/p>

\u201cOur technology is very good at detecting subtle changes that are the earliest predictors of a problem,\u201d explained Gary Conkright, founder of PhysIQ, the startup responsible for the system.<\/p>

The algorithm developed needs only 36 hours to create each patient's profile, allowing immediate reaction to any possible relapse due to COVID-19.<\/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\/wearable-ai-helps-patients-recover-from-covid-19\/<\/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":"

A trav\u00e9s de un kit m\u00f3vil, los pacientes pueden ser monitoreados remotamente y ser evaluados por aprendizaje autom\u00e1tico para conocer su evoluci\u00f3n. Un programa piloto desarrollado en la Universidad de Illinois y un startup fondeada por los Institutos Nacionales de Salud (NIH), permitir\u00e1 que los pacientes de COVID-19 contin\u00faen su recuperaci\u00f3n fuera de las instalaciones hospitalarias. Se trata de un sistema de monitoreo remoto, que mediante un kit que incluye un ox\u00edmetro de pulso, un parche sensor desechable habilitado para Bluetooth y un tel\u00e9fono inteligente emparejado, utiliza aprendizaje autom\u00e1tico para evaluar los signos vitales de cada paciente. Este sistema mantiene alerta a los m\u00e9dicos, en caso de cualquier variaci\u00f3n en los niveles habituales de frecuencia cardiaca, por ejemplo. “Cuando trabajas en el departamento de emergencias, es triste ver pacientes que esperaron demasiado para pedir ayuda. Requerir\u00edan cuidados intensivos en un ventilador. No pudo evitar preguntar: ‘Si pudi\u00e9ramos haberles advertido cuatro d\u00edas antes, \u00bfpodr\u00edamos haber evitado todo esto?’”, explic\u00f3 Terry Vanden Hoek, director m\u00e9dico y director de medicina de emergencia de la Universidad de Illinois. Los participantes del estudio que evalu\u00f3 su efectividad, fueron en mayor\u00eda de origen afroamericano o latino y la mayor\u00eda viven con comorbilidades, como diabetes, obesidad, hipertensi\u00f3n o tienen afecciones pulmonares. \u201cNuestra tecnolog\u00eda es muy buena para detectar cambios sutiles que son los primeros predictores de un problema\u201d, explic\u00f3 Gary Conkright, fundador de PhysIQ, el startup responsable del sistema. El algoritmo desarrollado solo necesita 36 horas para crear el perfil de cada paciente, lo que permite reaccionar de manera inmediata ante cualquier posible reca\u00edda por COVID-19. BIBLIOGRAF\u00cdA AI MED https:\/\/ai-med.io\/more-news\/wearable-ai-helps-patients-recover-from-covid-19\/<\/p>","protected":false},"author":1,"featured_media":15857,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393],"tags":[145],"class_list":["post-15856","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\/15856","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=15856"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/15856\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/15857"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=15856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=15856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=15856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}