{"id":12936,"date":"2022-04-06T16:59:49","date_gmt":"2022-04-06T11:29:49","guid":{"rendered":"https:\/\/www.allerin.com\/blog\/?p=12936"},"modified":"2022-03-08T17:01:39","modified_gmt":"2022-03-08T11:31:39","slug":"the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment","status":"publish","type":"post","link":"https:\/\/www.allerin.com\/blog\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\/","title":{"rendered":"The Role of Machine Learning in the Future of Cardiovascular Treatment"},"content":{"rendered":"<p><a href=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2022\/03\/machine-learning-in-healthcare.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-12939\" src=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2022\/03\/machine-learning-in-healthcare.jpg\" alt=\"machine learning in healthcare\" width=\"1000\" height=\"412\" srcset=\"https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/machine-learning-in-healthcare.jpg 1000w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/machine-learning-in-healthcare-300x124.jpg 300w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/machine-learning-in-healthcare-768x316.jpg 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/a><\/p>\n<p>Healthcare experts across the globe have constantly emphasized on the importance of cardiovascular health. According to the World Health Organization, <a href=\"https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/cardiovascular-diseases-(cvds)\">cardiovascular diseases are the leading cause of death globally<\/a>, with an estimated 17.9 million people who died due to cardiovascular diseases in 2019. This figure represents 32% of all global deaths in 2019. Considering how serious cardiovascular health issues can be, medical practitioners have started deploying <a href=\"https:\/\/www.allerin.com\/blog\/how-ai-is-assisting-medical-imaging\">machine learning in healthcare<\/a>.<\/p>\n<h4><\/h4>\n<p>Machine learning has established itself as a robust tool in several industries, including construction, retail, FMCG, oil and gas, and others. Similarly, healthcare institutions have already started using machine learning for various purposes. Researchers are now looking into utilizing machine learning for cardiovascular treatment. Machine learning-powered applications can make the diagnosis of cardiovascular diseases faster and much more accurate. This will help in early diagnosis of cardiovascular diseases, allowing quicker treatment.<\/p>\n<h2>Leveraging Machine Learning in Healthcare for Cardiovascular Treatment<\/h2>\n<p>Healthcare institutions can consider the following applications of machine learning to diagnose and treat cardiovascular diseases:<\/p>\n<p><a href=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-12937\" src=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment.png\" alt=\"machine learning in healthcare\" width=\"1080\" height=\"1080\" srcset=\"https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment.png 1080w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment-300x300.png 300w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment-1024x1024.png 1024w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment-150x150.png 150w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment-768x768.png 768w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment-144x144.png 144w, https:\/\/www.allerin.com\/blog\/wp-content\/uploads\/2022\/03\/The-Role-of-Machine-Learning-in-the-Future-of-Cardiovascular-Treatment-120x120.png 120w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/a><\/p>\n<h3>Echocardiography<\/h3>\n<p>Echocardiography is a prominent imaging technique used in hospitals and clinics. It helps doctors in assessing heart function and identifying various cardiac ailments. However, echocardiography is a resource-intensive process that often gives estimated results rather than precise calculations. Machine learning can automate several processes in echocardiography and deliver accurate results. Machine learning-based systems can perform a wide variety of tasks, from detection of anomalies to blood tracking. The results delivered by such systems are more accurate compared to traditional echocardiography techniques. For example, <a href=\"https:\/\/www.philips.co.in\/healthcare\/product\/HCNOCTN145\/qlab-cardiovascular-ultrasound-quantification-software\">Philips has developed the QLAB Cardiac Analysis software<\/a> that performs automated echocardiography as well as assists in diagnosing cardiovascular disorders using mitral valve navigation, 3D cardiac quantification, cardiac motion quantification, and more.<\/p>\n<h3>Electrocardiography<\/h3>\n<p>Implementing machine learning in healthcare can lead to the development of low-cost electrocardiography (ECG) that can detect a weak heart pump. A machine learning system can be fed with a huge database of ECGs after eliminating each patient\u2019s personal information. This data will help in predicting potential heart failure quickly and accurately. In a machine learning-powered system, a clinician can upload an ECG that would be analyzed to find anomalies in the ECG signal. This could make the entire process of analyzing ECGs simpler, faster, and more accurate. <a href=\"https:\/\/arxiv.org\/pdf\/1707.01836.pdf\">Machine learning-based ECG analysis has already been tested in a study by Stanford University<\/a>, where a machine learning algorithm identified 12 heart conditions with better precision than physicians.<\/p>\n<h4><\/h4>\n<p>Medical practitioners can deploy machine learning in healthcare to monitor heart health and predict the risk of cardiovascular diseases such as embolic stroke and arrhythmia. Researchers are now working on smart clothing projects, where they could use IoT sensors that can monitor vital information about a patient\u2019s heart and detect cardiovascular disorders. With greater advancements in machine learning technology, researchers will be able to develop game-changing applications that could revolutionize how we diagnose and treat cardiovascular disorders.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Healthcare experts across the globe have constantly emphasized on the importance of cardiovascular health. According to the World Health Organization, cardiovascular diseases are the leading cause of death globally, with&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5,3],"tags":[1457],"class_list":["post-12936","post","type-post","status-publish","format-standard","hentry","category-ai","category-technology","tag-machine-learning-in-healthcare"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.5 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>The Role of Machine Learning in the Future of Cardiovascular Treatment<\/title>\n<meta name=\"description\" content=\"Doctors and clinicians can use machine learning in healthcare to identify cardiovascular diseases quickly and accurately, enabling faster treatment. Machine learning-powered systems can also predict potential cardiovascular disorders by analysing data about a patient\u2019s heart.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.allerin.com\/blog\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Role of Machine Learning in the Future of Cardiovascular Treatment\" \/>\n<meta property=\"og:description\" content=\"Healthcare experts across the globe have constantly emphasized on the importance of cardiovascular health. According to the World Health Organization,\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.allerin.com\/blog\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\/\" \/>\n<meta property=\"og:site_name\" content=\"Artificial Intelligence, ROBOTICS, AUTOMATION\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/allerintech\" \/>\n<meta property=\"article:published_time\" content=\"2022-04-06T11:29:49+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.allerin.com\/wp-blog\/wp-content\/uploads\/2022\/03\/machine-learning-in-healthcare.jpg\" \/>\n<meta name=\"author\" content=\"Naveen Joshi\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@joshinav\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Naveen Joshi\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/\"},\"author\":{\"name\":\"Naveen Joshi\",\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/#\\\/schema\\\/person\\\/d01e43be365179dae3ff572b2007c64e\"},\"headline\":\"The Role of Machine Learning in the Future of Cardiovascular Treatment\",\"datePublished\":\"2022-04-06T11:29:49+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/\"},\"wordCount\":483,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/#primaryimage\"},\"thumbnailUrl\":\"http:\\\/\\\/www.allerin.com\\\/wp-blog\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/machine-learning-in-healthcare.jpg\",\"keywords\":[\"Machine learning in healthcare\"],\"articleSection\":[\"Artificial Intelligence\",\"Technology\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/\",\"url\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/\",\"name\":\"The Role of Machine Learning in the Future of Cardiovascular Treatment\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.allerin.com\\\/blog\\\/the-role-of-machine-learning-in-the-future-of-cardiovascular-treatment\\\/#primaryimage\"},\"thumbnailUrl\":\"http:\\\/\\\/www.allerin.com\\\/wp-blog\\\/wp-content\\\/uploads\\\/2022\\\/03\\\/machine-learning-in-healthcare.jpg\",\"datePublished\":\"2022-04-06T11:29:49+00:00\",\"description\":\"Doctors and clinicians can use machine learning in healthcare to identify cardiovascular diseases quickly and accurately, enabling faster treatment. 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