{"id":173419,"date":"2023-10-04T03:23:22","date_gmt":"2023-10-04T08:23:22","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/10\/using-artificial-intelligence-to-personalize-liver-cancer-treatment"},"modified":"2023-10-04T03:23:22","modified_gmt":"2023-10-04T08:23:22","slug":"using-artificial-intelligence-to-personalize-liver-cancer-treatment","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/10\/using-artificial-intelligence-to-personalize-liver-cancer-treatment","title":{"rendered":"Using Artificial Intelligence to Personalize Liver Cancer Treatment"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/Mu3HmoOLTIY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>For more information on liver cancer treatment or #YaleMedicine, visit: <a href=\"https:\/\/www.yalemedicine.org\/stories\/artificial-intelligence-liver-cancer\">https:\/\/www.yalemedicine.org\/stories\/artificial-intelligence-liver-cancer<\/a>.<\/p>\n<p>With liver cancer on the rise (deaths rose 25% between 2006 and 2015, according to the CDC), doctors and researchers at the Yale Cancer Center are highly focused on finding new and better treatment options. A unique collaboration between Yale Medicine physicians and researchers and biomedical engineers from Yale\u2019s School of Engineering uses artificial intelligence (AI) to pinpoint the specific treatment approach for each patient. First doctors need to understand as much as possible about a particular patient\u2019s cancer. To this end, medical imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) are valuable tools for early detection, accurate diagnosis, and effective treatment of liver cancer. For every patient, physicians need to interpret and analyze these images, along with a multitude of other clinical data points, to make treatment decisions likeliest to lead to a positive outcome. \u201cThere\u2019s a lot of data that needs to be considered in terms of making a recommendation on how to manage a patient,\u201d says Jeffrey Pollak, MD, Robert I. White, Jr. Professor of Radiology and Biomedical Imaging. \u201cIt can become quite complex.\u201d To help, researchers are developing AI tools to help doctors tackle that vast amount of data. In this video, Julius Chaprio, MD, PhD, explains how collaboration with biomedical engineers like Lawrence Staib, PhD, facilitated the development of specialized AI algorithms that can sift through patient information, recognize important patterns, and streamline the clinical decision-making process. The ultimate goal of this research is to bridge the gap between complex clinical data and patient care. \u201cIt\u2019s an advanced tool, just like all the others in the physician\u2019s toolkit,\u201d says Dr. Staib. \u201cBut this one is based on algorithms instead of a stethoscope.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>For more information on liver cancer treatment or #YaleMedicine, visit: https:\/\/www.yalemedicine.org\/stories\/artificial-intelligence-liver-cancer. With liver cancer on the rise (deaths rose 25% between 2006 and 2015, according to the CDC), doctors and researchers at the Yale Cancer Center are highly focused on finding new and better treatment options. A unique collaboration between Yale Medicine physicians and researchers [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,6],"tags":[],"class_list":["post-173419","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/173419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=173419"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/173419\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=173419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=173419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=173419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}