{"id":520,"date":"2021-05-12T05:16:55","date_gmt":"2021-05-12T05:16:55","guid":{"rendered":"http:\/\/nura.in\/?p=520"},"modified":"2021-05-27T05:23:19","modified_gmt":"2021-05-27T05:23:19","slug":"artificial-intelligence-in-medical-imaging-a-game-changer","status":"publish","type":"post","link":"https:\/\/uat.nura.ph\/en\/artificial-intelligence-in-medical-imaging-a-game-changer\/","title":{"rendered":"Artificial Intelligence in Medical Imaging: A Game Changer"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">The very mention of AI or Artificial Intelligence in healthcare makes most of us picture a humanoid doctor treating us. So, how close are we to this scenario? Well, it seems we are almost there.\u00a0<\/span><\/p>\n<p><b>Journey of AI in Medical Roadways: So far, So good!<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Since starting from the very first AI project, the Dendral System in the 1960s to MYCIN in the 1970s, AI has never taken a back seat in the world of medical sciences.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Today, in the 21st century, the epoch of all sorts of headways, you can find numerous research materials, applications, and even start-up companies involving AI in the healthcare sector. Medical imaging is one of the most promising domains in this context.<\/span><\/p>\n<p><b>Decipher Volumes of Data like 1, 2, and 3 with AI<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Images from various diagnostic equipment, including X-rays, CT-Scanners, and MRI apparatuses, are likely to comprise large amounts of heterogeneous data. The data load is such that it might be challenging for human technicians to evaluate all of that and deduce accurate outcomes. This is where DL algorithms come in.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">DL or Deep Learning (a Machine Learning System) algorithms perform the following vital functions:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select and derive various peculiarities of the images<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Recognize and order different disease patterns from those images<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Assist human imaging technicians in working out suitable treatment plans with other healthcare professionals involved in the case<\/span><\/li>\n<\/ul>\n<p><b>Benefits of AI in Medical Imaging<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Besides converting trillions of pixels into word format, AI is all set to transform the manner in which the healthcare industry operates. Here are some interesting aspects:<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Increased Accessibility to Healthcare<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Even now, many places in the world lack access to essential healthcare services. AI can reach those places where humans cannot. Soon, anyone with a smartphone can access medical care with ease.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ai offers a distinct advantage especially to people in developing countries and those working in remote locations.\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Improved Productivity and Workflow<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">According to an assessment, in the United Kingdom alone, at a given time, over 300,000 images, including X-rays and other radiographs, usually remain pending waiting to be analyzed by radio technicians. Sometimes waiting period is more than 30 days! Incorporating AI will help minimize delays in finding and working on these image screenings.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As per GE Healthcare, more than 90% of data (healthcare) is from medical imaging. Ironically, over 97% of these images are unanalyzed or pending analysis. AI would not only speed up the process but make it zero- error efficient and robust.\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Increased Accuracy<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Another benefit of leveraging AI has increased accuracy in terms of diagnosing various health conditions. Did you know that breast cancer makes the second-most prevalent cancer in women?\u00a0 However, traditional mammograms fail to identify 1 in 5 cases.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As per the American Journal of Surgical Pathology&#8217;s paper, LYNA, the AI-powered Lymph Node Assistant from Google can identify metastasis of breast cancer with 99% precision! On the contrary, human lab technicians miss this malignancy spread by 62%. So, you can see the difference for yourself!<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Increased Prioritization<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">By incorporating AI algorithms into medical imaging, lab technicians can address time-sensitive cases requiring urgent medical assistance, for example, a stroke.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In the USA alone, over 800,000 Americans suffer a stroke every year! With AI, doctors and other healthcare professionals can identify such urgent cases and continue with the rest of the medical procedure to ensure timely and effective treatment. It helps doctors and healthcare professionals prioritize and enhance the workflow.<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Increased Focus on more Imperative Tasks<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">One of the prime advantages of AI in healthcare is that it addresses repetitive, monotonous yet critical tasks while enabling doctors to channel their focus on their core competencies.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI in healthcare is the way forward. With the numerous advantages it offers, it will not be long before every medical imaging device will be linked to the cloud-driven by AI algorithms that interpret data effectively and efficiently. AI will soon be an indispensable part of assisting healthcare providers in diagnosis and treatment.\u00a0<\/span><\/p>\n<p><b>Conclusion<\/b><\/p>\n<p><span style=\"font-weight: 400;\">It is clear that artificial intelligence is a game-changer in the world of medical imaging. However, this does not mean that AI will replace human healthcare professional and doctors. One must understand that the underlying purpose of incorporating AI in medical imaging is to allow human technicians more room to direct their energies and experience to improve diagnostic outcomes\u00a0<\/span><span style=\"font-weight: 400;\">so as to benefit patients at large.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The very mention of AI or Artificial Intelligence in healthcare makes most of us picture a humanoid doctor treating us. So, how close are we to this scenario? Well, it seems we are almost there.\u00a0 Journey of AI in Medical Roadways: So far, So good! Since starting from the very first AI project, the Dendral <a href=\"https:\/\/uat.nura.ph\/en\/artificial-intelligence-in-medical-imaging-a-game-changer\/\" class=\"more-link\">&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[70],"tags":[],"class_list":["post-520","post","type-post","status-publish","format-standard","hentry","category-healthai-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Artificial Intelligence in Medical Imaging: A Game Changer - Nura<\/title>\n<meta name=\"description\" content=\"Besides converting trillions of pixels into word format, AI is now all set to transform the manner in which the healthcare industry operates.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial Intelligence in Medical Imaging: A Game Changer - 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