{"id":12728,"date":"2025-07-23T09:53:00","date_gmt":"2025-07-23T08:53:00","guid":{"rendered":"https:\/\/rewirenow.com\/?post_type=press&#038;p=12728"},"modified":"2026-06-23T17:21:52","modified_gmt":"2026-06-23T16:21:52","slug":"ai-in-healthcare-does-not-work-without-bias-detection","status":"publish","type":"press","link":"https:\/\/rewirenow.com\/en\/resources\/press\/ai-in-healthcare-does-not-work-without-bias-detection\/","title":{"rendered":"AI in healthcare does not work without bias detection"},"content":{"rendered":"\n\n<div class=\"at-spacer at-spacer--6a6785392d56c\" style=\"background-color: transparent\">\n<style>\n\/* Ultrawide *\/\n.at-spacer--6a6785392d56c {\n    height: 80px;\n}\n\n\/* Desktop *\/\n@media (max-width: 1920px) {\n    .at-spacer--6a6785392d56c {\n        height: 80px;\n    }\n}\n\n\/* Laptop *\/\n@media (max-width: 1024px) {\n    .at-spacer--6a6785392d56c {\n        height: 60px;\n    }\n}\n\n\/* Mobile *\/\n@media (max-width: 767px) {\n    .at-spacer--6a6785392d56c {\n        height: 40px;\n    }\n}\n<\/style>\n<\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\"><section class=\"container-block   \"  style=\"\" >\r\n        <div class=\"block  container  container--default  width-under--mobile width-under--tablet width-under--laptop  wysiwyg\">\r\n        \n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p><strong>Amsterdam, 23 July 2025<\/strong>. In this article published in Dutch health-tech platform SmartHealth, Rewire Partner Philipp Diesinger explains why bias detection is a prerequisite for safe and equitable AI in healthcare. When training data is unrepresentative, AI models systematically underperform for the groups least reflected in that data \u2014 women, older patients, and those from migrant backgrounds. Bias can enter at multiple points: data collection, measurement instruments, algorithmic proxies, and clinical data entry. Left undetected, these distortions lead to misdiagnosis, unequal treatment, and eroding trust. Diesinger argues that dataset audits, subgroup performance analysis, and fairness metrics must become standard practice in AI development, with human oversight maintained throughout.<\/p>\n\n\n\n<p><a class=\"\" href=\"https:\/\/smarthealth.live\/2025\/07\/23\/ai-in-de-zorg-werkt-niet-zonder-biasdetectie\/\"><strong>Read the full article in Smarthealth [in Dutch]<\/strong><\/a>.<\/p>\n<\/div>\n<\/div>\n\n\r\n    <\/div>\r\n<\/section><\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"featured_media":12774,"template":"","class_list":["post-12728","press","type-press","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI in healthcare does not work without bias detection | Rewire | Data &amp; AI Consultancy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rewirenow.com\/en\/resources\/press\/ai-in-healthcare-does-not-work-without-bias-detection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI in healthcare does not work without bias detection | Rewire | Data &amp; 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