{"id":280617,"date":"2026-06-24T11:00:00","date_gmt":"2026-06-24T15:00:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/06\/24\/medical-ai-model-privacy-risks\/"},"modified":"2026-06-24T12:05:27","modified_gmt":"2026-06-24T16:05:27","slug":"medical-ai-model-privacy-risks","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/06\/24\/medical-ai-model-privacy-risks\/","title":{"rendered":"Medical AI Model Privacy Risks"},"content":{"rendered":"<p><a href=\"https:\/\/www.insideprecisionmedicine.com\/topics\/informatics\/medical-ai-model-privacy-risks\/\">Medical AI Model Privacy Risks<\/a><\/p>\n<p><a href=\"https:\/\/www.insideprecisionmedicine.com\/topics\/informatics\/medical-ai-model-privacy-risks\/\">https:\/\/www.insideprecisionmedicine.com\/topics\/informatics\/medical-ai-model-privacy-risks\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-06-24 11:00:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.insideprecisionmedicine.com\">www.insideprecisionmedicine.com<\/a><\/p>\n<p>            Credit: mikkelwilliam \/ Getty Images<\/p>\n<p>Research led by the Technical University of Munich shows that data from some individuals used to train medical artificial intelligence (AI) models could be at much higher risk of exposure due to cyberattack than others.<\/p>\n<p>Writing in Nature, the researchers explain that underrepresented groups, such as people with a rare disease or a minority ethnicity, are at particularly high risk of having their data exposed.<\/p>\n<p>A type of cyberattack called a \u201cmembership inference attack\u201d can be used to uncover sensitive information about individuals or learn about the training data behind an AI system, without seeing the original database. In the wrong hands, this kind of information can be used for discrimination, blackmail, or even to assess who might be vulnerable to exploitative marketing.<\/p>\n<p>\u201cThe extent to which this constitutes a privacy violation is nuanced and depends on factors such as the underlying training population and the deployment context of the model. Although inferring membership for a model trained on a general population may be benign, doing so for a model trained on a narrow, disease- or center-specific cohort acts as a direct proxy for sensitive medical information,\u201d explained lead author Moritz Knolle, a doctoral researcher at the Technical University of Munich, and colleagues.<\/p>\n<p>In this study, the team studied seven large, real\u2011world clinical datasets including medical images, electrocardiograms, and electronic health records. They trained around 200 versions of an AI model for each dataset, then quantified, for every single record and patient, how accurately an attack would be at guessing if a patient was part of the training set.<\/p>\n<p>They showed that membership inference attacks can be almost perfectly successful for some individual patients, such as those with an unusual disease or presentation, even though the average attack performance across the whole training set looked close to random&#8230;<\/p>\n<p><a href=\"https:\/\/www.insideprecisionmedicine.com\/topics\/informatics\/medical-ai-model-privacy-risks\/\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Medical AI Model Privacy Risks https:\/\/www.insideprecisionmedicine.com\/topics\/informatics\/medical-ai-model-privacy-risks\/ Publish Date: 2026-06-24 11:00:00 Source Domain: www.insideprecisionmedicine.com Credit: mikkelwilliam&#8230;<\/p>\n","protected":false},"author":1,"featured_media":280618,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.insideprecisionmedicine.com\/wp-content\/uploads\/2025\/08\/Aug1_2025_GettyImages_2183527075-AIChip.jpg","fifu_image_alt":"","footnotes":""},"categories":[16],"tags":[],"class_list":["post-280617","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-privacy"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/280617"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=280617"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/280617\/revisions"}],"predecessor-version":[{"id":280619,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/280617\/revisions\/280619"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/280618"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=280617"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=280617"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=280617"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}