{"id":9429,"date":"2021-11-11T11:10:03","date_gmt":"2021-11-11T11:10:03","guid":{"rendered":"https:\/\/direc.dk\/explain-me-learning-to-collaborate-via-explainable-ai-in-medical-education\/"},"modified":"2025-11-04T12:41:24","modified_gmt":"2025-11-04T12:41:24","slug":"explain-me-learning-to-collaborate-via-explainable-ai-in-medical-education","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/explain-me-learning-to-collaborate-via-explainable-ai-in-medical-education\/","title":{"rendered":"EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"9429\" class=\"elementor elementor-9429 elementor-9380\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-5b08ffe1 elementor-section-height-min-height elementor-section-items-stretch elementor-section-content-middle elementor-reverse-mobile elementor-reverse-tablet elementor-section-full_width elementor-section-height-default\" data-id=\"5b08ffe1\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;shape_divider_bottom&quot;:&quot;triangle&quot;,&quot;shape_divider_bottom_negative&quot;:&quot;yes&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-shape elementor-shape-bottom\" aria-hidden=\"true\" data-negative=\"true\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 1000 100\" preserveAspectRatio=\"none\">\n\t<path class=\"elementor-shape-fill\" d=\"M500.2,94.7L0,0v100h1000V0L500.2,94.7z\"\/>\n<\/svg>\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fac21ee\" data-id=\"fac21ee\" 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<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-inner-section elementor-element elementor-element-7a9e0c8a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7a9e0c8a\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\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-inner-column elementor-element elementor-element-79643f53\" data-id=\"79643f53\" 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-710ada1f elementor-widget elementor-widget-heading\" data-id=\"710ada1f\" 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\">DIREC-projekt<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-664357c8 animated-fast elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"664357c8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Explain me<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77d84076 animated-fast elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"77d84076\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">- Learning to Collaborate via Explainable AI in Medical Education<\/h1>\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-inner-column elementor-element elementor-element-27d07768\" data-id=\"27d07768\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\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\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-423032d6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"423032d6\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\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-1692b8bb\" data-id=\"1692b8bb\" 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-6b13a709 elementor-widget elementor-widget-heading\" data-id=\"6b13a709\" 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<h4 class=\"elementor-heading-title elementor-size-default\">Resum\u00e9<\/h4>\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-57dc8115\" data-id=\"57dc8115\" 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-3e8a0c1c elementor-widget elementor-widget-text-editor\" data-id=\"3e8a0c1c\" 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>I den vestlige verden vurderes ca. hver tiende medicinske diagnose til at v\u00e6re forkert, hvilket resulterer i, at patienterne ikke f\u00e5r den rigtige behandling. Forklaringen kan v\u00e6re manglende erfaring og uddannelse hos l\u00e6gepersonalet.<\/p>\n<p>Sammen med klinikere har dette projekt til form\u00e5l at udvikle forklarende AI, der kan hj\u00e6lpe medicinsk personale med at tr\u00e6ffe kvalificerede beslutninger ved at agere som en mentor, der giver feedback og r\u00e5d, n\u00e5r personalet tr\u00e6ner. Det er vigtigt, at den forklarlige AI giver gode forklaringer, som er lette at forst\u00e5 og bruge under det medicinske personales arbejdsgang.<\/p>\n<p><strong>Projektperiode:<\/strong> 2021-2025<br \/><strong>Budget:<\/strong> 28,44 millioner kr.<\/p>\n<p><strong>Projektleder<\/strong><\/p>\n<ul>\n<li>Professor Aasa Feragen<\/li>\n<li>DTU Compute, DTU<\/li>\n<li>afhar@dtu.dk<\/li>\n<\/ul>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72aa94de elementor-widget elementor-widget-toggle\" data-id=\"72aa94de\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;}\" 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-1921\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1921\" 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\">Mere om projektet (p\u00e5 engelsk)<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1921\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1921\"><p>AI is widely deployed in assistive medical technologies, such as image-based diagnosis, to solve highly speci\ufb01c tasks with feasible model optimization. However, AI is rarely designed as a collaborator for the healthcare professionals, but rather as a mechanical substitute for part of a diagnostic work\ufb02ow. From the AI researcher\u2019s point of view, the goal of development is to beat state-of-the-art on narrow performance parameters, which the AI may solve with superhuman accuracy.<\/p>\n<p>However, for more general problems such as full diagnosis, treatment execution, or explaining the background for a diagnosis, the AI is still not to be trusted. Hence, clinicians do not always perceive AI solutions as helpful in solving their clinical tasks, as they only solve part of the problem su\ufb03ciently well. The EXPLAIN-ME initiative seeks to create AIs that help solve the overall general tasks in collaboration with the human health care professional.<\/p>\n<p>To do so, we need not only to provide interpretability in the form of explainable AI models &#8212; we need to provide models whose explanations are easy to understand and utilize during the clinician\u2019s work\ufb02ow. Put simply, we need to provide good explanations.<\/p>\n<p><strong>Unmet technical needs<\/strong><br \/>It is not hard to agree that good explanations are better than bad explanations. In this project, however, we aim to establish methods and collect data that allow us to train and validate the quality of clinical AI explanations in terms of how understandable and useful they are.<\/p>\n<p>AI support should neither distract nor hinder ongoing tasks, giving \ufb02uctuating need for AI support, e.g. throughout a surgical procedure. As such, the relevance and utility of AI explanations are highly context- and task-dependent. Through collaboration with Zealand University Hospital we will develop explainable AI (XAI) feedback for human-AI collaboration in static clinical procedures, where data is collected and analyzed independently &#8212; e.g. when diagnosing cancer from scans collected beforehand in a different unit.<\/p>\n<p>In collaboration with CAMES and NordSim, we will implement human-AI collaboration in simulation centers used to train clinicians in dynamic clinical procedures, where data is collected on the \ufb02y &#8212; e.g. for ultrasound scanning of pregnant women, or robotic surgery. We will monitor the clinicians\u2019 behavior and performance as a function of feedback provided by the AI. As there are no actual patients involved in medical simulation, we are also free to provide clinicians with potentially bad explanations, and we may use the clinicians\u2019 responses to freely train and evaluate the AI\u2019s ability to explain.<\/p>\n<p><strong>Unmet clinical needs<\/strong><br \/>In the Western World, medical errors are only exceeded by cancer and heart diseases in the number of fatalities caused. About one in ten diagnoses is estimated to be wrong, resulting in inadequate and even harmful care. Errors occur during clinical practice for several reasons, but most importantly, because clinicians often work alone with minimal expert supervision and support. The EXPLAIN-ME initiative aims to create AI decision support systems that take the role of an experienced mentor providing advice and feedback.<\/p>\n<p>This initiative seeks to optimize the utility of feedback provided by healthcare explainable AI (XAI). We will approach this problem both in static healthcare applications, where clinical decisions are based on data already collected, and in dynamic applications, where data is collected on the \ufb02y to continually improve con\ufb01dence in the clinical decision. Via an interdisciplinary effort between XAI, medical simulation, participatory design and HCI, we aim to optimize the explanations provided by the XAI to be of maximal utility for clinicians, supporting technology utility and acceptance in the clinic.<\/p>\n<p><strong>Case 1: Renal tumor classi\ufb01cation<\/strong><br \/>Classi\ufb01cation of a renal tumor as malign or benign is an example of a decision that needs to be taken under time pressure. If malign, the patient should be operated immediately to prevent cancer from spreading to the rest of the body, and thus a false positive diagnosis may lead to the unnecessary destruction of a kidney and other complications. While AI methods can be shown statistically to be more precise than an expert physician, there is a need for extending it with explanation for a decision\u2013 and only the physicians know what \u201ca good explanation\u201d is. This motivates a collaborative design and development process to \ufb01nd the best balance between what is technically possible and what is clinically needed.<\/p>\n<p><strong>Case 2: Ultrasound Screening<br \/>\n<\/strong>Even before birth, patients suffer from erroneous decisions made by healthcare workers. In Denmark, 95% of all pregnant women participate in the national ultrasound screening program aimed at detecting severe maternal-fetal disease. Correct diagnosis is directly linked to the skills of the clinicians, and only about half of all serious conditions are detected before birth. AI feedback, therefore, comes with the potential to standardize care across clinicians and hospitals. At DTU, KU and CAMES, ultrasound imaging will be the main case for development, as data access and management, as well as manual annotations, are already in place. We seek to give the clinician feedback during scanning, such as whether the current image is a standard ultrasound plane (see \ufb01gure); whether it has su\ufb03cient quality; whether the image can be used to predict clinical outcomes, or how to move the probe to improve image quality.<\/p>\n<p><strong>Case 3: Robotic Surgery<br \/>\n<\/strong>AAU and NordSim will collaborate on the assessment and development of robotic surgeons\u2019 skills, associated with an existing clinical PhD project. Robotic surgery allows surgeons to do their work with more precision and control than traditional surgical tools, thereby reducing errors and increasing e\ufb03ciency. AI-based decision support is expected to have a further positive effect on outcomes. The usability of AI decision support is critical, and this project will study temporal aspects of the human-AI collaboration, such as how to present AI suggestions in a timely manner without interrupting the clinician; how to hand over tasks between a member of the medical team and an AI system; and how to handle disagreement between the medical expert and the AI system.<\/p>\n<p>In current healthcare AI research and development, there is often a gap between the needs of clinicians and the developed solutions. This comes with a lost opportunity for added value: We miss out on potential clinical value for creating standardized, high quality care across demographic groups. Just as importantly, we miss out on added business value: If the \ufb01rst, research-based step in the development food chain is unsuccessful, then there will also be fewer spin-offs and start-ups, less knowledge dissemination to industry, and overall less innovation in healthcare AI.<\/p>\n<p>The EXPLAIN-ME initiative will address this problem:<\/p>\n<ul>\n<li>We will improve clinical interpretability of healthcare AI by developing XAI methods and work\ufb02ows that allow us to optimize XAI feedback for clinical utility, measured both on clinical performance and clinical outcomes.<\/li>\n<li>We will improve clinical technology acceptance by introducing these XAI models in clinical training via simulation-laboratories.<\/li>\n<li>We will improve business value by creating a prototype for collaborative, simulation-based deployment of healthcare AI. This comes with great potential for speeding up industrial development of healthcare AI: Simulation-based testing of algorithms can begin while algorithms still make mistakes, because there is no risk of harming patients. This, in particular, can speed up the timeline from idea to clinical implementation, as the simulation-based testing is realistic while not requiring the usual ethical approvals.<\/li>\n<\/ul>\n<p>This comes with great potential value: While AI has transformed many aspects of society, its impact on the healthcare sector is so far limited. Diagnostic AI is a key topic in healthcare research, but only marginally deployed in clinical care. This is partly explained by the low interpretability of state-of-the-art AI, which negatively affects both patient safety and clinicians&#8217; technology acceptance. This is also explained by the typical work\ufb02ow in healthcare AI research and development, which is often structured as parallel tracks where AI researchers independently develop technical solutions to a prede\ufb01ned clinical problem, while only occasionally interacting with the clinical end-users.<\/p>\n<p>This often results in a gap between the clinicians&#8217; needs and the developed solution. The EXPLAIN-ME initiative aims to close this gap by developing AI solutions that are designed to interact with clinicians in every step of the design-, training-, and implementation process.<\/p>\n<\/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<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-d0d0a53 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d0d0a53\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\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-7d971d4b\" data-id=\"7d971d4b\" 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-5b6eb823 elementor-widget elementor-widget-heading\" data-id=\"5b6eb823\" 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<h4 class=\"elementor-heading-title elementor-size-default\">V\u00e6rdi<\/h4>\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-4148f401\" data-id=\"4148f401\" 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-1bef91be elementor-widget elementor-widget-text-editor\" data-id=\"1bef91be\" 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>Projektet vil udvikle forklarlig AI, der kan hj\u00e6lpe medicinsk personale med at tr\u00e6ffe kvalificerede beslutninger ved at tage rollen som mentor.<\/p>\n\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-4367a9aa elementor-section-height-min-height elementor-section-items-stretch elementor-section-content-middle elementor-reverse-mobile elementor-reverse-tablet elementor-section-stretched elementor-section-boxed elementor-section-height-default\" data-id=\"4367a9aa\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4eb0534\" data-id=\"4eb0534\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72fbf21c animated-fast elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"72fbf21c\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Insights<\/h3>\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-2bebf5ec elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2bebf5ec\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\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-63769364\" data-id=\"63769364\" 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-5daed1cb elementor-widget__width-initial elementor-widget elementor-widget-eael-post-list\" data-id=\"5daed1cb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-post-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"eael-post-list-container default layout-default\"><div class=\"eael-post-list-wrap\"><div class=\"eael-post-list-posts-wrap eael-post-appender eael-post-appender-5daed1cb\"><div class=\"eael-post-list-post \"><div class=\"eael-post-list-thumbnail \"><a href=\"https:\/\/direc.dk\/da\/nu-skal-ai-vaere-sundhedspersonalets-lane-assist-ved-ultralydsscanninger-af-gravide\/\">\n                            <img decoding=\"async\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/Ultrasound-scanning-1024x577.jpg\" alt=\"\">\n                        <\/a><\/div><div class=\"eael-post-list-content\"><h2 class=\"eael-post-list-title\"><a href=\"https:\/\/direc.dk\/da\/nu-skal-ai-vaere-sundhedspersonalets-lane-assist-ved-ultralydsscanninger-af-gravide\/\" >Nu skal AI v\u00e6re sundhedspersonalets \u201dlane assist\u201d ved ultralydsscanninger af gravide<\/a><\/h2><div class=\"meta\"><span class=\"eael-post-published-date\"><i class=\"far fa-calendar-alt\"><\/i> 23. maj 2024<\/span><\/div><\/div><\/div><div class=\"eael-post-list-post \"><div class=\"eael-post-list-thumbnail \"><a href=\"https:\/\/direc.dk\/da\/kan-ai-bringe-et-skrantende-sundhedsvaesen-tilbage-i-topform\/\">\n                            <img decoding=\"async\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2022\/11\/AI-og-sundhed_nyhed.jpg\" alt=\"\">\n                        <\/a><\/div><div class=\"eael-post-list-content\"><h2 class=\"eael-post-list-title\"><a href=\"https:\/\/direc.dk\/da\/kan-ai-bringe-et-skrantende-sundhedsvaesen-tilbage-i-topform\/\" >Kan AI bringe et skrantende sundhedsv\u00e6sen tilbage i topform?<\/a><\/h2><div class=\"meta\"><span class=\"eael-post-published-date\"><i class=\"far fa-calendar-alt\"><\/i> 16. november 2022<\/span><\/div><\/div><\/div><div class=\"eael-post-list-post \"><div class=\"eael-post-list-thumbnail \"><a href=\"https:\/\/direc.dk\/da\/hvordan-bliver-vi-bedre-til-at-udnytte-kunstig-intelligens-i-sundhedsvaesenet\/\">\n                            <img decoding=\"async\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2022\/10\/AI-in-healthcare_news-1024x576.jpg\" alt=\"\">\n                        <\/a><\/div><div class=\"eael-post-list-content\"><h2 class=\"eael-post-list-title\"><a href=\"https:\/\/direc.dk\/da\/hvordan-bliver-vi-bedre-til-at-udnytte-kunstig-intelligens-i-sundhedsvaesenet\/\" >Hvordan bliver vi bedre til at udnytte kunstig intelligens i sundhedsv\u00e6senet?<\/a><\/h2><div class=\"meta\"><span class=\"eael-post-published-date\"><i class=\"far fa-calendar-alt\"><\/i> 17. oktober 2022<\/span><\/div><\/div><\/div><div class=\"eael-post-list-post \"><div class=\"eael-post-list-thumbnail \"><a href=\"https:\/\/direc.dk\/da\/forklarlig-kunstig-intelligens-skal-oege-sygehuses-brug-af-ai\/\">\n                            <img decoding=\"async\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/Aase-Feragen_news-1024x576.jpg\" alt=\"\">\n                        <\/a><\/div><div class=\"eael-post-list-content\"><h2 class=\"eael-post-list-title\"><a href=\"https:\/\/direc.dk\/da\/forklarlig-kunstig-intelligens-skal-oege-sygehuses-brug-af-ai\/\" >Forklarlig kunstig intelligens skal \u00f8ge sygehuses brug af AI<\/a><\/h2><div class=\"meta\"><span class=\"eael-post-published-date\"><i class=\"far fa-calendar-alt\"><\/i> 29. november 2021<\/span><\/div><\/div><\/div><div class=\"eael-post-list-post \"><div class=\"eael-post-list-thumbnail \"><a href=\"https:\/\/direc.dk\/da\/redefinering-af-sundhedsvaesenet-en-samtale-med-administrerende-direktoer-for-direc-thomas-riisgaard-hansen\/\">\n                            <img decoding=\"async\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/03\/Interview-Thomas-Riisgaard-1024x576.jpg\" alt=\"\">\n                        <\/a><\/div><div class=\"eael-post-list-content\"><h2 class=\"eael-post-list-title\"><a href=\"https:\/\/direc.dk\/da\/redefinering-af-sundhedsvaesenet-en-samtale-med-administrerende-direktoer-for-direc-thomas-riisgaard-hansen\/\" >Redefinering af sundhedsv\u00e6senet \u2013 en samtale med administrerende direkt\u00f8r for DIREC, Thomas Riisgaard Hansen<\/a><\/h2><div class=\"meta\"><span class=\"eael-post-published-date\"><i class=\"far fa-calendar-alt\"><\/i> 10. marts 2021<\/span><\/div><\/div><\/div><\/div><\/div>\n\t\t<\/div>\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-23038711\" data-id=\"23038711\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\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 data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-5d447848 elementor-section-content-middle elementor-reverse-mobile elementor-reverse-tablet elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5d447848\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-48435aeb\" data-id=\"48435aeb\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-45c8f5bc animated-fast elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"45c8f5bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Partnere<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-inner-section elementor-element elementor-element-3949f69 elementor-section-content-top elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3949f69\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\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-25 elementor-inner-column elementor-element elementor-element-cdfd2ee\" data-id=\"cdfd2ee\" 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-3bd71bd elementor-widget elementor-widget-image\" data-id=\"3bd71bd\" 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 decoding=\"async\" width=\"222\" height=\"54\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/Capital-Region-Denmark.png\" class=\"attachment-large size-large wp-image-9415\" alt=\"\" \/>\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-25 elementor-inner-column elementor-element elementor-element-b357331\" data-id=\"b357331\" 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-9fcdf57 elementor-widget elementor-widget-image\" data-id=\"9fcdf57\" 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=\"767\" height=\"131\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/North-Denmark-Region.png\" class=\"attachment-large size-large wp-image-9417\" alt=\"\" srcset=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/North-Denmark-Region.png 767w, https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/North-Denmark-Region-300x51.png 300w\" sizes=\"(max-width: 767px) 100vw, 767px\" \/>\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-25 elementor-inner-column elementor-element elementor-element-5030c11\" data-id=\"5030c11\" 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-14c0599 elementor-widget elementor-widget-image\" data-id=\"14c0599\" 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 decoding=\"async\" width=\"170\" height=\"53\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/11\/Region-Sjaelland.png\" class=\"attachment-large size-large wp-image-9419\" alt=\"\" \/>\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-25 elementor-inner-column elementor-element elementor-element-8fff0d2\" data-id=\"8fff0d2\" 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-da77cd3 elementor-widget elementor-widget-image\" data-id=\"da77cd3\" 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 loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"298\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/08\/KU_logo_DK-1024x381.png\" class=\"attachment-large size-large wp-image-5973\" alt=\"\" srcset=\"https:\/\/direc.dk\/wp-content\/uploads\/2021\/08\/KU_logo_DK-1024x381.png 1024w, https:\/\/direc.dk\/wp-content\/uploads\/2021\/08\/KU_logo_DK-300x112.png 300w, https:\/\/direc.dk\/wp-content\/uploads\/2021\/08\/KU_logo_DK-768x286.png 768w, https:\/\/direc.dk\/wp-content\/uploads\/2021\/08\/KU_logo_DK-1200x447.png 1200w, https:\/\/direc.dk\/wp-content\/uploads\/2021\/08\/KU_logo_DK.png 1300w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-inner-section elementor-element elementor-element-aa7dc30 elementor-section-content-top elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aa7dc30\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\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-25 elementor-inner-column elementor-element elementor-element-ab2e8f8\" data-id=\"ab2e8f8\" 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-cf03292 elementor-widget elementor-widget-image\" data-id=\"cf03292\" 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 loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"419\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/DTU-logo-mini.png\" class=\"attachment-large size-large wp-image-28907\" alt=\"\" srcset=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/DTU-logo-mini.png 800w, https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/DTU-logo-mini-300x157.png 300w, https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/DTU-logo-mini-768x402.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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-25 elementor-inner-column elementor-element elementor-element-06cad64\" data-id=\"06cad64\" 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-b119525 elementor-widget elementor-widget-image\" data-id=\"b119525\" 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 loading=\"lazy\" decoding=\"async\" width=\"440\" height=\"110\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/AAU_LEFT_RGB.png\" class=\"attachment-large size-large wp-image-5975\" alt=\"\" srcset=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/AAU_LEFT_RGB.png 440w, https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/AAU_LEFT_RGB-300x75.png 300w\" sizes=\"(max-width: 440px) 100vw, 440px\" \/>\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-25 elementor-inner-column elementor-element elementor-element-0d3bce1\" data-id=\"0d3bce1\" 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-2688ac4 elementor-widget elementor-widget-image\" data-id=\"2688ac4\" 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 loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"98\" src=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/RUC-logo-dk.png\" class=\"attachment-large size-large wp-image-5979\" alt=\"\" srcset=\"https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/RUC-logo-dk.png 1000w, https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/RUC-logo-dk-300x37.png 300w, https:\/\/direc.dk\/wp-content\/uploads\/2024\/05\/RUC-logo-dk-768x94.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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-25 elementor-inner-column elementor-element elementor-element-0f854e4\" data-id=\"0f854e4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\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\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Sammen med klinikere har dette projekt til form\u00e5l at udvikle forklarende AI, der kan hj\u00e6lpe medicinsk personale med at tr\u00e6ffe kvalificerede beslutninger ved at agere som en mentor, der giver feedback og r\u00e5d, n\u00e5r personalet tr\u00e6ner. Det er vigtigt, at den forklarlige AI giver gode forklaringer, som er lette at forst\u00e5 og bruge under det medicinske personales arbejdsgang.<\/p>\n","protected":false},"author":3,"featured_media":24498,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[211,32,213,221,218,215],"tags":[65,69],"class_list":["post-9429","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-bridge-projekt","category-digital-sundhed","category-human-centered-computing","category-projekt","category-uddannelse-og-kapacitetsopbygning","tag-ws2-da","tag-ws5-da"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education - DIREC<\/title>\n<meta name=\"description\" content=\"Sammen med klinikere har dette projekt til form\u00e5l at udvikle forklarende AI, der kan hj\u00e6lpe medicinsk personale med at tr\u00e6ffe kvalificerede beslutninger ved at agere som en mentor, der giver feedback og r\u00e5d, n\u00e5r personalet tr\u00e6ner. 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