{"id":15431,"date":"2021-05-24T10:02:33","date_gmt":"2021-05-24T15:02:33","guid":{"rendered":"https:\/\/saluddigital.com\/?p=15431"},"modified":"2025-10-21T12:41:57","modified_gmt":"2025-10-21T18:41:57","slug":"nueva-herramienta-de-inteligencia-artificial-identifica-riesgos-en-pacientes-cardiacos","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/nueva-herramienta-de-inteligencia-artificial-identifica-riesgos-en-pacientes-cardiacos\/","title":{"rendered":"New Artificial Intelligence tool identifies risks in cardiac patients"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"15431\" class=\"elementor elementor-15431\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6fca358f elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-equal-height-no\" data-id=\"6fca358f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-61dd7f1c\" data-id=\"61dd7f1c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6e3f4259 elementor-widget elementor-widget-heading\" data-id=\"6e3f4259\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Applying Artificial Intelligence (AI), on hospital data, algorithms will enable algorithms to use trends in various cardiac variables to identify patients with undiagnosed heart 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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-11c9dc19 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-equal-height-no\" data-id=\"11c9dc19\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1dea0bca\" data-id=\"1dea0bca\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-56101e27 elementor-widget elementor-widget-text-editor\" data-id=\"56101e27\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>U.S. California-based Digital Health company Egnite has advanced in the development of predictive algorithms for its CardioCare service, which will offer progress in the treatment of patients with structural heart disease.<\/p><p>The algorithms, used on hospital data, will be able to review trends in aortic stenosis, and track the disease. The new CardioCare algorithms and algorithm tools include:<\/p><ul><li>Leverage data from egnite\u2019s proprietary database of more than 500,000 de-identified echocardiographic studies, including more than 11,000 studies with indications of significant disease.<\/li><li>Predict the likelihood that a patient has been undiagnosed with severe AS, facilitating further review of significant clinical data points.<\/li><li>Predict the likelihood that a moderate AS patient will progress to severe disease, enabling clinicians to prioritize their patient population for clinical follow-up.<\/li><\/ul>\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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5fb25594 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-equal-height-no\" data-id=\"5fb25594\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-72e42e64\" data-id=\"72e42e64\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5e76f672 elementor-widget elementor-widget-image\" data-id=\"5e76f672\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1200\" height=\"630\" src=\"https:\/\/saluddigital.com\/wp-content\/uploads\/2021\/05\/Nueva-herramienta-de-Inteligencia-Artificial-identifica-riesgos-en-pacientes-cardiacos.jpg\" class=\"attachment-full size-full wp-image-15432\" alt=\"\" srcset=\"https:\/\/saluddigital.com\/wp-content\/uploads\/2021\/05\/Nueva-herramienta-de-Inteligencia-Artificial-identifica-riesgos-en-pacientes-cardiacos.jpg 1200w, https:\/\/saluddigital.com\/wp-content\/uploads\/2021\/05\/Nueva-herramienta-de-Inteligencia-Artificial-identifica-riesgos-en-pacientes-cardiacos-660x347.jpg 660w, https:\/\/saluddigital.com\/wp-content\/uploads\/2021\/05\/Nueva-herramienta-de-Inteligencia-Artificial-identifica-riesgos-en-pacientes-cardiacos-840x441.jpg 840w, https:\/\/saluddigital.com\/wp-content\/uploads\/2021\/05\/Nueva-herramienta-de-Inteligencia-Artificial-identifica-riesgos-en-pacientes-cardiacos-768x403.jpg 768w, https:\/\/saluddigital.com\/wp-content\/uploads\/2021\/05\/Nueva-herramienta-de-Inteligencia-Artificial-identifica-riesgos-en-pacientes-cardiacos-16x8.jpg 16w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/>\t\t\t\t\t\t\t\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<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6f8be345\" data-id=\"6f8be345\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-63025e19 elementor-widget elementor-widget-text-editor\" data-id=\"63025e19\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Results from the Egnite database showed that one in four patients undergoing echocardiograms was diagnosed with moderate or severe heart disease. They also found among the findings that only 11% of patients receive echocardiograms regularly and at their recommended intervals.<\/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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-778047de elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-equal-height-no\" data-id=\"778047de\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5b436bb1\" data-id=\"5b436bb1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4e7075da elementor-widget elementor-widget-text-editor\" data-id=\"4e7075da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\u201cOur health care system is fragmented, which can result in either undertreatment or lack of timely treatment of structural heart disease,\u201d said Egnite's chief medical officer, Glenn R. Barnhart.<\/p><p>On the other hand, Joel Portice, CEO of Egnite, explained the importance of leveraging hospital and patient data to improve the quality of medical services, \u201cWe are using vast amounts of data to solve big problems and close gaps in patient care.\u201d<\/p><p>He further expressed his enthusiasm about the use of AI in healthcare: \u201cWe believe this is the first of many AI applications that will become a game changer for our physician partners and deliver meaningful improvements in patient care, with the potential to save thousands of lives. Now, more than ever we are acting with urgency to get these AI solutions into providers\u2019 hands.\u201d<\/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<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6ebfa162 elementor-section-boxed elementor-section-height-default elementor-section-height-default wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-equal-height-no\" data-id=\"6ebfa162\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c594147\" data-id=\"7c594147\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7fb1707b elementor-widget elementor-widget-toggle\" data-id=\"7fb1707b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2141\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-2141\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/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<a class=\"elementor-toggle-title\" tabindex=\"0\"> BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2141\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-2141\"><p><strong>AI MEAS<\/strong><\/p><p><a href=\"https:\/\/ai-med.io\/more-news\/new-ai-tool-helps-identify-at-risk-structural-heart-patients\/\">https:\/\/ai-med.io\/more-news\/new-ai-tool-helps-identify-at-risk-structural-heart-patients\/<\/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":"<p>Al aplicar Inteligencia Artificial (IA), en datos hospitalarios, los algoritmos podr\u00e1n utilizar las tendencias en diversas variables cardiacas para identificar pacientes con enfermedades cardiacas no diagnosticadas. La compa\u00f1\u00eda de Salud Digital con sede en el estado de California en Estados Unidos, Egnite, ha avanzado en el desarrollo de algoritmos predictivos para su servicio CardioCare, que ofrecer\u00e1 un progreso en el tratamiento de pacientes con enfermedades cardiacas estructurales. Los algoritmos utilizados en los datos hospitalarios, podr\u00e1n revisar las tendencias en estenosis aortica, y realizar un seguimiento de la enfermedad. Los nuevos algoritmos y herramientas de algoritmos CardioCare incluyen: Aprovechar los datos de la base de datos patentada de Egnite de m\u00e1s de 500,000 estudios ecocardiogr\u00e1ficos no identificados, incluidos m\u00e1s de 11,000 estudios con indicaciones de enfermedad significativa. Predecir la probabilidad de que un paciente no haya sido diagnosticado con estenosis aortica grave, lo que facilita la revisi\u00f3n adicional de puntos de datos cl\u00ednicos importantes. Predecir la probabilidad de que un paciente con estenosis aortica moderada progrese a una enfermedad grave, lo que permite a los m\u00e9dicos priorizar su poblaci\u00f3n de pacientes para el seguimiento cl\u00ednico. Los resultados de la base de datos de Egnite, mostraron que uno de cada cuatro pacientes sometidos a ecocardiogramas fue diagnosticado con una enfermedad cardiaca moderada o grave. Entre los hallazgos tambi\u00e9n encontraron que apenas el 11% de los pacientes reciben ecocardiogramas regularmente y en sus intervalos recomendados. &#8220;Nuestro sistema de atenci\u00f3n m\u00e9dica est\u00e1 fragmentado, lo que puede resultar en un tratamiento insuficiente o en la falta de un tratamiento oportuno de la enfermedad card\u00edaca estructural&#8221;, dijo el director m\u00e9dico de Egnite, Glenn R. Barnhart. Por otra parte, Joel Portice, director ejecutivo de Egnite, explic\u00f3 la importancia de aprovechar los datos hospitalarios y de pacientes para mejorar la calidad de los servicios m\u00e9dicos: \u201cEstamos utilizando grandes cantidades de datos para resolver grandes problemas y cerrar brechas en la atenci\u00f3n al paciente\u201d. Adem\u00e1s, expres\u00f3 su entusiasmo sobre el uso de IA en salud: \u201cCreemos que esta es la primera de muchas aplicaciones de IA que cambiar\u00e1 las reglas del juego para nuestros socios m\u00e9dicos y brindar\u00e1 mejoras significativas en la atenci\u00f3n al paciente, con el potencial de salvar miles de vidas. Ahora, m\u00e1s que nunca, estamos actuando con urgencia para poner estas soluciones de IA en manos de los proveedores\u201d. BIBLIOGRAF\u00cdA AI MED https:\/\/ai-med.io\/more-news\/new-ai-tool-helps-identify-at-risk-structural-heart-patients\/<\/p>","protected":false},"author":1,"featured_media":15432,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393],"tags":[145],"class_list":["post-15431","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\/15431","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=15431"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/15431\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/15432"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=15431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=15431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=15431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}