{"id":12734,"date":"2025-04-23T09:35:31","date_gmt":"2025-04-23T07:35:31","guid":{"rendered":"https:\/\/www.apf.ruhr-uni-bochum.de\/2025\/04\/announcement-kientwicklerinnen-working-group-with-axel-mosig-and-johannes-schwarz\/"},"modified":"2026-01-18T15:21:52","modified_gmt":"2026-01-18T13:21:52","slug":"announcement-kientwicklerinnen-working-group-with-axel-mosig-and-johannes-schwarz","status":"publish","type":"post","link":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/2025\/04\/announcement-kientwicklerinnen-working-group-with-axel-mosig-and-johannes-schwarz\/","title":{"rendered":"Announcement | KI:Entwickler:innen working group with Axel Mosig and Johannes Schwarz"},"content":{"rendered":"<p>In our next AI developer working group, you can look forward to an exciting presentation by Prof. Dr. Axel Mosig and doctoral student Johannes Schwarz. \ud83e\uddec<\/p>\n<p>Her presentation will focus on the topic: &#8220;What is normal? Modeling-based anomaly detection for transparent and trustworthy artificial intelligence in medicine&#8221;.<\/p>\n<p>In medical AI, diagnosis is often based on anomaly detection &#8211; diseases are recognized as deviations from &#8220;normal&#8221; patterns.<br \/>\nThe speakers make it clear that this issue is central, but often goes unnoticed. They therefore propose a <strong>model-based approach<\/strong> that makes implicit assumptions visible and thus makes AI models more transparent and trustworthy. \ud83e\ude7a\ud83e\udd16<\/p>\n<p>So don&#8217;t miss the AI:developer:inside working group if you are interested in AI in medicine. \ud83d\ude0a<\/p>\n<div class=\"fusion-button-wrapper fusion-align-block\"><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-default-span fusion-button-default-type\" target=\"_self\" href=\"https:\/\/humaine.info\/ki-arbeitskreis-anmeldung\/\" rel=\"noopener\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">To the registration <\/span><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>In our next AI developer working group, you can look forward to an exciting presentation by Prof. Dr. Axel Mosig and doctoral student Johannes Schwarz. \ud83e\uddec Her presentation will focus on the topic: &#8220;What is normal? Modeling-based anomaly detection <a href=\"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/2025\/04\/announcement-kientwicklerinnen-working-group-with-axel-mosig-and-johannes-schwarz\/\"> [&#8230;]<\/a><\/p>\n","protected":false},"author":10,"featured_media":11851,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[52],"tags":[],"class_list":["post-12734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-52"],"_links":{"self":[{"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/posts\/12734","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/comments?post=12734"}],"version-history":[{"count":0,"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/posts\/12734\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/media\/11851"}],"wp:attachment":[{"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/media?parent=12734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/categories?post=12734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.apf.ruhr-uni-bochum.de\/en\/wp-json\/wp\/v2\/tags?post=12734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}