{"id":14919,"date":"2025-04-30T13:15:30","date_gmt":"2025-04-30T13:15:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=14919"},"modified":"2026-10-25T14:49:29","modified_gmt":"2026-10-25T14:49:29","slug":"ai-algorithm-predicts-heart-disease-risk-from-bone-scans","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2025\/04\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\/","title":{"rendered":"KI-Algorithmus sagt Herzkrankheitsrisiko anhand von Knochenscans voraus."},"content":{"rendered":"<p><b>Forscher der Edith Cowan University (ECU) und der University of Manitoba haben ein automatisiertes Programm entwickelt, das anhand von routinem\u00e4\u00dfigen Knochendichtemessungen Herz-Kreislauf-Probleme und Sturzrisiken erkennen kann.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Dies k\u00f6nnte es erheblich erleichtern, schwerwiegende Gesundheitsprobleme zu erkennen, bevor sie lebensbedrohlich werden.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Der von ECU-Forschungsstipendiatin Dr. Cassandra Smith und Senior-Forschungsstipendiat Dr. Marc Sim entwickelte Algorithmus funktioniert durch die Analyse von Vertebralfraktur-Assessment-Bildern (VFA), die w\u00e4hrend Standard-Knochendichtemessungen aufgenommen werden, welche h\u00e4ufig Bestandteil von Behandlungspl\u00e4nen f\u00fcr Osteoporose sind.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Durch die Beurteilung des Vorhandenseins und des Ausma\u00dfes einer Verkalkung der Bauchaorta (AAC) in diesen Scans kann das Programm schnell Patienten identifizieren, die ein Risiko f\u00fcr Herzinfarkt, Schlaganfall und gef\u00e4hrliche St\u00fcrze aufweisen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Besonders beeindruckend ist die Geschwindigkeit, mit der der Algorithmus arbeitet. W\u00e4hrend ein erfahrener menschlicher Leser f\u00fcnf bis sechs Minuten ben\u00f6tigt, um den AAC-Wert eines einzelnen Scans zu berechnen, kann das Programm f\u00fcr maschinelles Lernen die Werte f\u00fcr Tausende von Bildern in weniger als einer Minute vorhersagen.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dieses Ma\u00df an Effizienz k\u00f6nnte ein erheblicher Vorteil f\u00fcr Gesundheitssysteme sein, die gro\u00dfe Bev\u00f6lkerungsgruppen auf versteckte Gesundheitsrisiken untersuchen wollen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Die Notwendigkeit solcher Untersuchungen ist offensichtlich. <\/span><a href=\"https:\/\/www.ecu.edu.au\/newsroom\/articles\/research\/new-machine-algorithm-could-identify-cardiovascular-risk-at-the-click-of-a-button\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Forschung<\/span><\/a><span style=\"font-weight: 400;\">, Dr. Smith stellte fest, dass sage und schreibe 581.060 \u00e4ltere Personen, die sich routinem\u00e4\u00dfigen Knochendichtemessungen unterzogen, einen mittleren bis hohen AAC-Wert aufwiesen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Noch besorgniserregender ist, dass jeder vierte dieser Patienten sich seines erh\u00f6hten Risikos \u00fcberhaupt nicht bewusst war.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cFrauen werden bekannterma\u00dfen zu selten auf Herz-Kreislauf-Erkrankungen untersucht und behandelt\u201d, bemerkte Dr. Smith. \u201cDiese Studie zeigt, dass wir mithilfe weit verbreiteter, strahlungsarmer Knochendichtemessger\u00e4te Frauen mit einem hohen Risiko f\u00fcr Herz-Kreislauf-Erkrankungen identifizieren und ihnen so erm\u00f6glichen k\u00f6nnen, sich behandeln zu lassen.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Doch die Vorhersagekraft des Algorithmus beschr\u00e4nkt sich nicht nur auf die Herzgesundheit. Mithilfe desselben Programms entdeckte Dr. Sim, dass Patienten mit mittleren bis hohen AAC-Werten im Vergleich zu Patienten mit niedrigen Werten auch ein h\u00f6heres Risiko f\u00fcr sturzbedingte Krankenhausaufenthalte und Knochenbr\u00fcche aufwiesen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cJe st\u00e4rker die Verkalkung Ihrer Arterien ist, desto h\u00f6her ist das Risiko f\u00fcr St\u00fcrze und Knochenbr\u00fcche\u201d, erkl\u00e4rte Dr. Sim. W\u00e4hrend traditionelle Sturzrisikofaktoren wie fr\u00fchere St\u00fcrze und geringe Knochendichte bekannt sind, wird die Gef\u00e4\u00dfgesundheit selten ber\u00fccksichtigt.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cUnsere Analyse ergab, dass AAC einen sehr starken Beitrag zum Sturzrisiko leistet und sogar bedeutsamer ist als andere Faktoren, die klinisch als Sturzrisikofaktoren identifiziert werden.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Wie bei jeder neuen Technologie gibt es Fragen zu beantworten und Herausforderungen zu bew\u00e4ltigen, bevor diese Art von KI-gest\u00fctztem Screening zum Standard wird.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Zun\u00e4chst muss der Algorithmus an gr\u00f6\u00dferen und vielf\u00e4ltigeren Patientenpopulationen validiert und nahtlos in bestehende klinische Arbeitsabl\u00e4ufe integriert werden.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Wenn diese Herausforderungen jedoch bew\u00e4ltigt werden k\u00f6nnen, k\u00f6nnte eine einfache Knochenszintigrafie \u2013 etwas, dem sich Millionen \u00e4lterer Erwachsener bereits regelm\u00e4\u00dfig unterziehen \u2013 zu einem Fr\u00fchwarnsystem f\u00fcr einige der h\u00e4ufigsten und schwerwiegendsten Gesundheitsprobleme werden, mit denen wir konfrontiert sind.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Forscher der Edith Cowan University (ECU) und der University of Manitoba haben ein automatisiertes Programm entwickelt, das anhand von routinem\u00e4\u00dfigen Knochendichtemessungen Herz-Kreislauf-Probleme und Sturzrisiken erkennen kann. Dies k\u00f6nnte die Erkennung schwerwiegender Gesundheitsprobleme erheblich erleichtern, bevor sie lebensbedrohlich werden. Der von Dr. Cassandra Smith (wissenschaftliche Mitarbeiterin der ECU) und Dr. Marc Sim (wissenschaftlicher Mitarbeiter) entwickelte Algorithmus analysiert Bilder der Wirbelfraktur-Beurteilung (VFA), die im Rahmen von Standard-Knochendichtemessungen aufgenommen werden. Diese Messungen sind h\u00e4ufig Bestandteil von Osteoporose-Behandlungspl\u00e4nen. Durch die Beurteilung des Vorhandenseins und des Ausma\u00dfes von Verkalkungen der Bauchaorta (AAC) in diesen Aufnahmen kann das Programm \u2026<\/p>","protected":false},"author":2,"featured_media":15517,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[],"class_list":["post-14919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI algorithm predicts heart disease risk from bone scans | DailyAI<\/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:\/\/dailyai.com\/de\/2025\/04\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI algorithm predicts heart disease risk from bone scans | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from Edith Cowan University (ECU) and the University of Manitoba have developed an automated program that can identify cardiovascular problems and fall risks from routine bone density scans.\u00a0 This could make it considerably easier to detect serious health issues before they become life-threatening. The algorithm, developed by ECU research fellow Dr. Cassandra Smith and senior research fellow Dr. Marc Sim, works by analyzing vertebral fracture assessment (VFA) images taken during standard bone density tests, which are often part of treatment plans for osteoporosis.\u00a0 By assessing the presence and extent of abdominal aortic calcification (AAC) in these scans, the program\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/de\/2025\/04\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2025-04-30T13:15:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-25T14:49:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2025\/04\/image-21.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1152\" \/>\n\t<meta property=\"og:image:height\" content=\"704\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2025\\\/04\\\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2025\\\/04\\\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\\\/\"},\"author\":{\"name\":\"Sam Jeans\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/711e81f945549438e8bbc579efdeb3c9\"},\"headline\":\"AI algorithm predicts heart disease risk from bone scans\",\"datePublished\":\"2025-04-30T13:15:30+00:00\",\"dateModified\":\"2026-10-25T14:49:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2025\\\/04\\\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\\\/\"},\"wordCount\":475,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2025\\\/04\\\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/dai-house-14919.jpg\",\"articleSection\":[\"Ethics &amp; 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