{"id":25308,"date":"2022-01-14T11:08:57","date_gmt":"2022-01-14T10:08:57","guid":{"rendered":"https:\/\/opi.org.pl\/?post_type=opi_project&#038;p=25308"},"modified":"2022-12-12T14:04:42","modified_gmt":"2022-12-12T13:04:42","slug":"ai-augmented-radiology-detection-reporting-and-clinical-decision-making-in-prostate-cancer-diagnosis","status":"publish","type":"opi_project","link":"https:\/\/opi.org.pl\/en\/project\/ai-augmented-radiology-detection-reporting-and-clinical-decision-making-in-prostate-cancer-diagnosis\/","title":{"rendered":"AI-augmented Radiology: Detection, reporting, and clinical decision-making in prostate cancer diagnosis"},"content":{"rendered":"<section class=\"project-data\">\n\t<h2>Project data<\/h2>\n\t<div class=\"opi-table-wrapper\"><table class=\"opi-project-details\">\n\t\t<tbody>\n<tr class=\"_project_date_start\"><td><strong>Project start date<\/strong><\/td><td class=\"date\">2021-12-02<\/td><\/tr><tr class=\"_project_date_end\"><td><strong>Project end date<\/strong><\/td><td class=\"date\">2025-06-01<\/td><\/tr><tr class=\"_project_cost\"><td><strong>Project cost<\/strong><\/td><td class=\"number\">7,347,082.50 PLN<\/td><\/tr><tr class=\"_project_funding\"><td><strong>Project amount of funding<\/strong><\/td><td class=\"number\">7,347,082.50 PLN<\/td><\/tr><tr class=\"_project_url\"><td><strong>Project url<\/strong><\/td><td class=\"url\"><a href=\"https:\/\/ai4ar.opi.org.pl\/en\" target=\"_blank\" class=\"external\" title=\"Opens in a new window\">https:\/\/ai4ar.opi.org.pl\/en<\/a><\/td><\/tr>\t\t<\/tbody>\n\t<\/table><\/table>\n<\/section>\n\n<section class=\"project-partners\"><h3>Lider<\/h3><ul><li>National Information Processing Institute<\/li><\/ul><h3>Subcontractor<\/h3><ul><li>Lower Silesian Oncology Center (scientific partner of OPI PIB)<\/li><\/ul><\/section>\n<p><strong>The National Information Processing Institute (OPI PIB) has received funding to&nbsp;develop an innovative platform that facilitates prostate cancer diagnosis. The cutting-edge tool will rely on&nbsp;artificial intelligence (AI) to&nbsp;assist medical experts in&nbsp;implementing the most optimal therapies.<\/strong><\/p>\n\n\n\n<p>Prostate cancer has become a&nbsp;growing problem, both from the medical and social perspectives. Diagnostic methods, such as&nbsp;medical imaging and, in&nbsp;particular, multi-parametric magnetic resonance imaging (mpMRI), are becoming increasingly popular among clinicians. The analysis of mpMRI scans is a&nbsp;complex and multifaceted task; the quality of reporting of lesions and communication between radiologists and clinicians play key roles in&nbsp;implementing suitable diagnosis and treatment plans. With staff shortages among radiologists and the long training necessary to&nbsp;become an experienced specialist that is capable of properly evaluating mpMRI results, the use of modern technologies to&nbsp;enhance radiologists\u2019 cognitive abilities and to&nbsp;facilitate specialists\u2019 tasks is imperative.<\/p>\n\n\n\n<p>The main goal of the project is to&nbsp;create a&nbsp;system that reports prostate cancer mpMRI scans; one that is developed on&nbsp;the basis of integration between standardised structural reports and trained machine learning (ML) methods that analyse mpMRI scans\u2014a highly innovative concept. The results of the image analyses will be&nbsp;used to&nbsp;support radiologists in&nbsp;various aspects of their work. These will include: automatic measurement of the size and calculation of the volume of prostate glands; creation of visual cues on&nbsp;the locations of suspicious lesions; evaluation of the clinical relevance of identified lesions on&nbsp;the PI-RADS scale; automatic pre-filling of fields in&nbsp;template reports; and searching for similar cases.<\/p>\n\n\n\n<p>The project\u2019s results will be&nbsp;made available via an e-learning platform that will train its users how to&nbsp;structurally report prostate mpMRI scans according to&nbsp;PI-RADS using a&nbsp;dedicated reporting system. Educational resources will be&nbsp;provided by&nbsp;an integrated reference base of imaging data that contains an extensive set of thoroughly described cases and full medical documentation. Both the database and the tasks related to&nbsp;medical aspects will be&nbsp;developed alongside the Lower Silesian Oncology Center.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Subsidies<\/h3>\n\n\n\n<p>The <em>AI-augmented radiology: Detection, reporting, and clinical decision-making in&nbsp;prostate cancer diagnosis <\/em>project has been devised by&nbsp;experts at&nbsp;OPI PIB led by&nbsp;Dr&nbsp;Rafa\u0142 J\u00f3\u017awiak. The project will be&nbsp;subsidised as&nbsp;part of the <em>Medical Image Recognition<\/em> task (the First&nbsp;INFOSTRATEG competition, Strategic Programme for Research and Development \u2013 <em>Advanced information, telecommunication and mechatronics&nbsp; technologies<\/em>).<\/p>\n\n\n\n<p>The results of the First INFOSTRATEG competition have been published <a href=\"https:\/\/www.gov.pl\/web\/ncbr\/wyniki-konkursu-infostrateg-i\" class=\"external\" rel=\"nofollow\" target=\"blank\">here<\/a> by&nbsp;the National Centre for Research and Development.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><a href=\"https:\/\/www.gov.pl\/web\/ncbr-en\" class=\"external\" rel=\"nofollow\" target=\"blank\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/opi.org.pl\/wp-content\/uploads\/2022\/10\/NCBR-logo-PL-i-ENG-ncbr-en-416px.png\" alt=\"\" class=\"wp-image-26357\" width=\"300\" height=\"95\" srcset=\"https:\/\/opi.org.pl\/wp-content\/uploads\/2022\/10\/NCBR-logo-PL-i-ENG-ncbr-en-416px.png 867w, https:\/\/opi.org.pl\/wp-content\/uploads\/2022\/10\/NCBR-logo-PL-i-ENG-ncbr-en-416px-300x95.png 300w, https:\/\/opi.org.pl\/wp-content\/uploads\/2022\/10\/NCBR-logo-PL-i-ENG-ncbr-en-416px-768x244.png 768w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/figure>\n\n\n\n<p>The project is financed by&nbsp;the National Centre for Research and Development as&nbsp;part of the INFOSTRATEG I&nbsp;programme.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The National Information Processing Institute (OPI PIB) has received funding to develop an innovative platform that facilitates prostate cancer diagnosis.<\/p>\n","protected":false},"featured_media":25332,"template":"","meta":{"_links_to":"","_links_to_target":""},"class_list":["post-25308","opi_project","type-opi_project","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/opi.org.pl\/en\/wp-json\/wp\/v2\/opi_project\/25308","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/opi.org.pl\/en\/wp-json\/wp\/v2\/opi_project"}],"about":[{"href":"https:\/\/opi.org.pl\/en\/wp-json\/wp\/v2\/types\/opi_project"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/opi.org.pl\/en\/wp-json\/wp\/v2\/media\/25332"}],"wp:attachment":[{"href":"https:\/\/opi.org.pl\/en\/wp-json\/wp\/v2\/media?parent=25308"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}