{"id":8190,"date":"2023-12-11T19:59:41","date_gmt":"2023-12-11T19:59:41","guid":{"rendered":"https:\/\/dailyai.com\/?p=8190"},"modified":"2023-12-11T22:03:13","modified_gmt":"2023-12-11T22:03:13","slug":"ai-matches-doctors-in-x-ray-analysis-university-of-warwick-study-finds","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/12\/ai-matches-doctors-in-x-ray-analysis-university-of-warwick-study-finds\/","title":{"rendered":"AI matcher l\u00e6ger i r\u00f8ntgenanalyse, viser unders\u00f8gelse fra University of Warwick"},"content":{"rendered":"<p><b>En ny unders\u00f8gelse fra University of Warwick har afsl\u00f8ret, at et AI-system kan analysere r\u00f8ntgenbilleder og diagnosticere medicinske problemer lige s\u00e5 pr\u00e6cist som l\u00e6ger.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Denne AI, der er udviklet i et samarbejde mellem Warwick, King's College London og flere NHS-sites, blev tr\u00e6net p\u00e5 2,8 millioner historiske r\u00f8ntgenbilleder af brystkassen fra over 1,5 millioner patienter.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den er i stand til at scanne for 37 mulige tilstande og viser samme eller st\u00f8rre n\u00f8jagtighed end l\u00e6ger i 94% af tilf\u00e6ldene (35 ud af 37 tilstande). For at sikre AI'ens n\u00f8jagtighed blev over 1.400 r\u00f8ntgenbilleder, som den analyserede, krydstjekket af erfarne radiologer i forhold til historiske diagnoser.<\/span><\/p>\n<p>Der har v\u00e6ret mange lignende anvendelser af AI til medicinske scanninger, <a href=\"https:\/\/dailyai.com\/da\/2023\/07\/google-develops-ai-system-to-enhance-the-accuracy-of-ai-medical-diagnostics\/\">herunder CoDoC af Google<\/a>, hvilket reducerer arbejdsbyrden ved at analysere medicinske scanninger med 66%.<\/p>\n<p><span style=\"font-weight: 400;\">Softwaren <\/span><a href=\"https:\/\/warwick.ac.uk\/newsandevents\/pressreleases\/the_ultimate_second\/\"><span style=\"font-weight: 400;\">brugt i dette nylige studie<\/span><\/a><span style=\"font-weight: 400;\">X-Raydar scanner for potentielle problemer umiddelbart efter, at der er taget r\u00f8ntgenbilleder, og kvantificerer sandsynligheden for hver enkelt abnormitet. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den prioriterer akutte tilstande og hj\u00e6lper l\u00e6gerne med at stille en tidseffektiv diagnose, hvilket er afg\u00f8rende i en tid med personalemangel og voksende ventelister.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dr. Giovanni Montana, hovedforfatter og professor i datavidenskab ved Warwick, forklarede AI'ens potentiale som et screeningsv\u00e6rkt\u00f8j eller til at give \"den ultimative second opinion\" ved at eliminere <a href=\"https:\/\/dailyai.com\/da\/2023\/07\/unmasking-the-deep-seated-biases-in-ai-systems\/\">Menneskelige fejl og bias<\/a>. Han fremh\u00e6vede dens tr\u00e6ning p\u00e5 millioner af r\u00f8ntgenbilleder og dens effektivitet i upartisk analyse.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Professor Vicky Goh fra King's College London, medforfatter og tidligere formand for Royal Society of Radiologists, forudser omfattende AI-systemer som X-Raydar som fremtidens medicin, der kan hj\u00e6lpe overbelastede l\u00e6ger.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI'en tager sig ogs\u00e5 af effektiviteten i tilf\u00e6lde, hvor der ikke findes nogen abnormiteter p\u00e5 r\u00f8ntgenbilleder, hvilket udg\u00f8r omkring halvdelen af alle tilf\u00e6lde.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> Ved at identificere disse tilf\u00e6lde giver AI radiologerne mulighed for at fokusere mere p\u00e5 komplekse og kritiske tests.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dette er is\u00e6r relevant i betragtning af radiologmanglen i Storbritannien, som rapporteret af Royal College of Radiologists, der for\u00e5rsager forsinkelser i behandlingen p\u00e5 97% af landets kr\u00e6ftbehandlingscentre.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">X-Raydar-softwaren er blevet open source til ikke-kommerciel brug for at fremskynde forskning og udvikling inden for dette omr\u00e5de.<\/span><\/p>\n<p>Dette slutter sig til mange sp\u00e6ndende medicinske anvendelser af AI, herunder en <a href=\"https:\/\/dailyai.com\/da\/2023\/08\/ai-shows-promise-in-breast-cancer-screening-study-reveals\/\">model, der hjalp med at accelerere<\/a> brystkr\u00e6ftscreeningsprocesser med over 44% og en <a href=\"https:\/\/dailyai.com\/da\/2023\/07\/google-develops-ai-system-to-enhance-the-accuracy-of-ai-medical-diagnostics\/\">Googles AI-system<\/a> designet til at give second opinions til l\u00e6ger.<\/p>\n<p>NHS har en lang r\u00e6kke erfaringer med at anvende medicinske AI-teknologier p\u00e5 grund af samarbejdet med DeepMind, herunder en nylig <a href=\"https:\/\/dailyai.com\/da\/2023\/06\/the-uk-nhs-announces-plans-to-deploy-ai-powered-lung-cancer-diagnosis-tools\/\">AI-v\u00e6rkt\u00f8j til diagnosticering af lungekr\u00e6ft<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>En ny unders\u00f8gelse fra University of Warwick har afsl\u00f8ret, at et AI-system kan analysere r\u00f8ntgenbilleder og diagnosticere medicinske problemer lige s\u00e5 pr\u00e6cist som l\u00e6ger.  Denne AI, der er udviklet i et samarbejde mellem Warwick, King's College London og flere NHS-sites, blev tr\u00e6net p\u00e5 2,8 millioner historiske r\u00f8ntgenbilleder af brystkassen fra over 1,5 millioner patienter.  Den er i stand til at scanne for 37 mulige tilstande og viser samme eller st\u00f8rre n\u00f8jagtighed end l\u00e6ger i 94% af tilf\u00e6ldene (35 ud af 37 tilstande). For at sikre AI'ens n\u00f8jagtighed blev over 1.400 r\u00f8ntgenbilleder, som den analyserede, krydstjekket af erfarne radiologer i forhold til historiske diagnoser. Der har v\u00e6ret adskillige<\/p>","protected":false},"author":2,"featured_media":8191,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[203,108,101],"class_list":["post-8190","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-biotech","tag-computer-vision-cv","tag-medtech"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI matches doctors in X-ray analysis, University of Warwick Study finds | DailyAI<\/title>\n<meta name=\"description\" content=\"A new study by the University of Warwick has revealed that an AI system can analyze X-rays and diagnose medical issues as accurately as doctors.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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