{"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\/it\/2025\/04\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\/","title":{"rendered":"Un algoritmo di intelligenza artificiale prevede il rischio di malattie cardiache a partire da scintigrafie ossee."},"content":{"rendered":"<p><b>Ricercatori della Edith Cowan University (ECU) e dell&#039;Universit\u00e0 di Manitoba hanno sviluppato un programma automatizzato in grado di identificare problemi cardiovascolari e rischi di caduta a partire da scansioni di densitometria ossea di routine.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Ci\u00f2 potrebbe rendere molto pi\u00f9 semplice individuare gravi problemi di salute prima che diventino pericolosi per la vita.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">L&#039;algoritmo, sviluppato dalla ricercatrice della ECU, la dottoressa Cassandra Smith, e dal ricercatore senior, il dottor Marc Sim, funziona analizzando le immagini di valutazione delle fratture vertebrali (VFA) acquisite durante i test standard di densit\u00e0 ossea, che spesso fanno parte dei piani di trattamento per l&#039;osteoporosi.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Valutando la presenza e l&#039;entit\u00e0 della calcificazione dell&#039;aorta addominale (AAC) in queste scansioni, il programma pu\u00f2 individuare rapidamente i pazienti a rischio di infarto, ictus e cadute pericolose.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ci\u00f2 che \u00e8 davvero impressionante \u00e8 la velocit\u00e0 con cui l&#039;algoritmo funziona. Mentre un lettore umano esperto potrebbe impiegare dai cinque ai sei minuti per calcolare un punteggio AAC da una singola scansione, il programma di apprendimento automatico \u00e8 in grado di prevedere i punteggi per migliaia di immagini in meno di un minuto.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Tale livello di efficienza potrebbe rappresentare un vantaggio significativo per i sistemi sanitari che intendono sottoporre a screening ampie fasce di popolazione per individuare rischi per la salute non evidenti.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">La necessit\u00e0 di tale screening \u00e8 evidente. Nel <\/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;\">ricerca<\/span><\/a><span style=\"font-weight: 400;\">, Il dottor Smith ha scoperto che ben 581 individui anziani sottoposti a scansioni di routine della densit\u00e0 ossea presentavano livelli di AAC da moderati ad alti.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ancor pi\u00f9 preoccupante, un paziente su quattro era completamente inconsapevole del proprio rischio elevato.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201c&quot;\u00c8 risaputo che le donne sono sottoposte a screening e trattamenti insufficienti per le malattie cardiovascolari&quot;, ha osservato la dottoressa Smith. &quot;Questo studio dimostra che possiamo utilizzare apparecchiature per la densitometria ossea a bassa emissione di radiazioni, ampiamente disponibili, per identificare le donne ad alto rischio di malattie cardiovascolari, consentendo loro di accedere alle cure necessarie.&quot;\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ma il potere predittivo dell&#039;algoritmo non si limita alla salute cardiaca. Utilizzando lo stesso programma, il dottor Sim ha scoperto che i pazienti con punteggi AAC da moderati ad alti presentavano anche un rischio maggiore di ricoveri ospedalieri e fratture dovute a cadute rispetto a quelli con punteggi bassi.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201c&quot;Maggiore \u00e8 la calcificazione delle arterie, maggiore \u00e8 il rischio di cadute e fratture&quot;, ha spiegato il dottor Sim. Mentre i fattori di rischio tradizionali per le cadute, come precedenti cadute e bassa densit\u00e0 ossea, sono ben noti, la salute vascolare viene raramente presa in considerazione.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201c&quot;La nostra analisi ha rivelato che la CAA (Comunicazione Aumentativa e Alternativa) contribuisce in modo significativo al rischio di cadute, risultando addirittura pi\u00f9 rilevante di altri fattori clinicamente identificati come fattori di rischio di caduta.&quot;\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Come per ogni nuova tecnologia, ci sono domande a cui rispondere e sfide da superare prima che questo tipo di screening assistito dall&#039;intelligenza artificiale diventi una pratica standard.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Innanzitutto, l&#039;algoritmo dovr\u00e0 essere validato su popolazioni di pazienti pi\u00f9 ampie e diversificate e integrato senza problemi nei flussi di lavoro clinici esistenti.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Tuttavia, se queste sfide potranno essere superate, una semplice scintigrafia ossea \u2013 un esame a cui milioni di anziani si sottopongono gi\u00e0 regolarmente \u2013 potrebbe diventare un sistema di allarme precoce per alcuni dei problemi di salute pi\u00f9 comuni e devastanti che ci troviamo ad affrontare.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Ricercatori della Edith Cowan University (ECU) e dell&#039;Universit\u00e0 di Manitoba hanno sviluppato un programma automatizzato in grado di identificare problemi cardiovascolari e rischi di caduta a partire da scansioni di routine della densit\u00e0 ossea. Ci\u00f2 potrebbe rendere considerevolmente pi\u00f9 facile individuare gravi problemi di salute prima che diventino pericolosi per la vita. L&#039;algoritmo, sviluppato dalla ricercatrice della ECU, la dott.ssa Cassandra Smith, e dal ricercatore senior, il dott. Marc Sim, funziona analizzando le immagini di valutazione delle fratture vertebrali (VFA) acquisite durante i test standard di densit\u00e0 ossea, che spesso fanno parte dei piani di trattamento per l&#039;osteoporosi. Valutando la presenza e l&#039;entit\u00e0 della calcificazione dell&#039;aorta addominale (AAC) in queste scansioni, il programma<\/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\/it\/2025\/04\/ai-algorithm-predicts-heart-disease-risk-from-bone-scans\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\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\/it\/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=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minuti\" \/>\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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