{"id":3564,"date":"2023-04-28T18:41:46","date_gmt":"2023-04-28T16:41:46","guid":{"rendered":"http:\/\/www.m2olie.de\/?post_type=press&#038;p=3564"},"modified":"2023-04-28T18:41:46","modified_gmt":"2023-04-28T16:41:46","slug":"desrist-2023-submission-1792-best-paper-nomination","status":"publish","type":"press","link":"https:\/\/www.m2olie.de\/en\/press\/desrist-2023-submission-1792-best-paper-nomination\/","title":{"rendered":"DESRIST 2023 submission 1792: Best Paper Nomination"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>The paper &#8220;Designing User-Centric Explanations for Medical Imaging With Informed Machine Learning\u201c by Luis Oberste, Florian R\u00fcffer, Okan Ayding\u00fcl, Johann Rink and Armin Heinzl has been nominated for the DESRIST (Design Science Research in Information Systems and Technology) best paper\u00a0award by the Sustainability and Responsible Design Track. The research is part of the Research Campus M\u00b2OLIE.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span class=\"has-inline-color has-primary-color\">&#8220;The convention has been the leading conference for the \u201ebuild side\u201c in our discipline for 18 years. Design science focusses on the development and validation of prescriptive knowledge in\u00a0the\u00a0information sciences. Nobel prize laureate Herbert A. Simon distinguished the natural sciences, concerned with explaining how things are, from design\u00a0sciences which are concerned with how things ought to be,\u00a0i.e., with devising technological artifacts to attain goals. The conference takes place from May 31 until June 2, in Pretoria, South Africa. We thank the conference chairs, the track chairs, and the review panel for their constructive feedback and for the signal of appreciation.&#8221;<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"has-text-align-center wp-block-heading\"><strong>Designing User-Centric Explanations for Medical Imaging <\/strong><br><strong>With Informed Machine Learning<\/strong><\/h3>\n\n\n\n<h4 class=\"has-text-align-center wp-block-heading\">Abstract<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">A flawed algorithm released in clinical practice can cause unintended harm to patient health. Risks, regulation, responsibility, and ethics shape the demand of clinical users to understand and rely on the outputs made by artificial intelligence. Explainable artificial intelligence (XAI) offers methods to render a model\u2019s behavior understandable from different perspectives. Extant XAI, however, is mainly data-driven and designed to meet developers\u2019 demands to correct models rather than clinical users\u2019 expectations to reflect clinically relevant information. To this end, informed machine learning (IML) utilizes prior knowledge jointly with data to generate predictions, a promising paradigm to enrich XAI with medical knowledge. To explore how IML can be used to generate explanations that are congruent to clinical users\u2019 demands and useful to medical decision-making, we conduct Action Design Research (ADR) in collaboration with a team of radiologists. We propose an IML-based XAI system for clinically relevant explanations of diagnostic imaging predictions. With the help of ADR, we reduce the gap between implementation and user evaluation and demonstrate the effectiveness of the system in a real-world application with clinicians. While we develop design principles of using IML for user-centric XAI in diagnostic imaging, the study demonstrates that an IML-based design adequately reflects clinicians\u2019 conceptions. In this way, IML inspires greater understandability and trustworthiness of AI-enabled diagnostic imaging.<\/p>\n","protected":false},"featured_media":2098,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"class_list":["post-3564","press","type-press","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/press\/3564","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/press"}],"about":[{"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/types\/press"}],"replies":[{"embeddable":true,"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/comments?post=3564"}],"version-history":[{"count":1,"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/press\/3564\/revisions"}],"predecessor-version":[{"id":3565,"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/press\/3564\/revisions\/3565"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/media\/2098"}],"wp:attachment":[{"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/media?parent=3564"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.m2olie.de\/en\/wp-json\/wp\/v2\/categories?post=3564"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}