{"id":227787,"date":"2025-12-24T21:13:24","date_gmt":"2025-12-25T03:13:24","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/12\/intracranial-aneurysm-rupture-risk-prediction-model"},"modified":"2025-12-24T21:13:24","modified_gmt":"2025-12-25T03:13:24","slug":"intracranial-aneurysm-rupture-risk-prediction-model","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/12\/intracranial-aneurysm-rupture-risk-prediction-model","title":{"rendered":"Intracranial Aneurysm Rupture Risk Prediction Model"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/intracranial-aneurysm-rupture-risk-prediction-model.jpg\"><\/a><\/p>\n<p>This machine learning model was trained on a large multicenter dataset of unruptured intracranial aneurysms to predict future rupture risk across international cohorts, supporting more precise and personalized treatment decisions.<\/p>\n<hr>\n<p>Question Can a machine-learning model (MLM) predict the rupture risk of unruptured intracranial aneurysms (UIAs) using prerupture data?<\/p>\n<p><strong>Findings<\/strong> In this prognostic study of 11 579 UIAs from a cohort of 8,846 patients, an MLM trained on prerupture clinical and morphological data demonstrated robust performance in both internal and external validation, including on aneurysms smaller than 10 mm.<\/p>\n<p><strong>Meaning<\/strong> The findings of this study suggest that an MLM may improve risk stratification and inform treatment decision-making for patients with UIAs, providing additional guidance even for smaller aneurysms traditionally considered low risk.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This machine learning model was trained on a large multicenter dataset of unruptured intracranial aneurysms to predict future rupture risk across international cohorts, supporting more precise and personalized treatment decisions. Question Can a machine-learning model (MLM) predict the rupture risk of unruptured intracranial aneurysms (UIAs) using prerupture data? Findings In this prognostic study of 11 [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-227787","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/227787","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=227787"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/227787\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=227787"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=227787"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=227787"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}