{"id":29201,"date":"2024-05-23T12:45:18","date_gmt":"2024-05-23T12:45:18","guid":{"rendered":"https:\/\/direc.dk\/nu-skal-ai-vaere-sundhedspersonalets-lane-assist-ved-ultralydsscanninger-af-gravide\/"},"modified":"2024-12-13T14:55:43","modified_gmt":"2024-12-13T14:55:43","slug":"nu-skal-ai-vaere-sundhedspersonalets-lane-assist-ved-ultralydsscanninger-af-gravide","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/nu-skal-ai-vaere-sundhedspersonalets-lane-assist-ved-ultralydsscanninger-af-gravide\/","title":{"rendered":"Nu skal AI v\u00e6re sundhedspersonalets \u201dlane assist\u201d ved ultralydsscanninger af gravide"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTil nyheder<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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23. maj 2024<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Nu skal AI v\u00e6re sundhedspersonalets \u201dlane assist\u201d ved ultralydsscanninger af gravide<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Efter to \u00e5rs arbejde har et hold af forskere p\u00e5 tv\u00e6rs af de danske universiteter skabt en kunstig intelligens, der kan bed\u00f8mme kvaliteten af ultralydsscanninger af gravide p\u00e5 baggrund af input fra erfarne l\u00e6ger. Modellen skal agere assistent i sundhedssektoren, s\u00e5 kvaliteten af scanninger kan h\u00f8jnes. Ikke bare i Danmark, men ogs\u00e5 i udviklingslande.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Ultralydsscanninger af gravide er en sv\u00e6r kunst. Mange l\u00e6ger har viet deres arbejdsliv til at tage de helt rigtige billeder af fostre \u2013 blot ved hj\u00e6lp af en lille sonde og en sk\u00e6rm.<\/p>\n

Jagten p\u00e5 fosteranomalier sker under vanskelige vilk\u00e5r. Ultralydsstr\u00e5ler, fedtlag og organer g\u00e5r ikke altid godt i sp\u00e6nd, og disciplinen bliver ikke nemmere af en ofte uklar billedkvalitet, som kan v\u00e6re sv\u00e6r at tolke p\u00e5.<\/p>\n

I dag er der stor forskel p\u00e5 kvaliteten af ultralydsscanninger af gravide, og der er evidens<\/a> for, at erfaring hos de klinikere, der udf\u00f8rer scanningerne, korrelerer med, hvorvidt v\u00e6ksth\u00e6mning bliver opdaget. Det understreger behovet for at standardisere kvaliteten af ultralydsscanninger p\u00e5 tv\u00e6rs af klinikere og hospitaler. Her kan kunstig intelligens spille en stor rolle som en mentor for de mindre erfarne klinikere.<\/p>\n

L\u00e6ger tr\u00e6ner algoritmen<\/h5>\n

Som en del af projektet EXPLAIN-ME<\/a> har en gruppe forskere siden 2021 fors\u00f8gt at skabe en forklarlig kunstig intelligens (XAI), som er designet til at vejlede sundhedspersonale i at udf\u00f8re h\u00f8jkvalitetsscanninger selv uden dybdeg\u00e5ende ekspertise.<\/p>\n

Et markant gennembrud i projektet har v\u00e6ret udviklingen af en algoritme, der p\u00e5 baggrund af erfarne l\u00e6gers kriterier for gode ultralydsscanninger er kommet op p\u00e5 et niveau, hvor den er lige s\u00e5 god som en erfaren kliniker til at udv\u00e6lge gode scanningsbilleder fra en unders\u00f8gelse.<\/p>\n

\u201dUltralydsscanninger kr\u00e6ver meget erfaring og specialiserede evner. Det er ret sv\u00e6rt at f\u00e5 et godt billede. Det betyder, at der er stor forskel p\u00e5 kvaliteten af de screeninger, de forskellige hospitaler foretager. Vi h\u00e5ber p\u00e5, at vores projekt kan udj\u00e6vne kvalitetsforskellen,\u201d siger Aasa Feragen, projektleder p\u00e5 EXPLAIN-ME-projektet og professor p\u00e5 DTU Compute.<\/p>\n

T\u00e6t parl\u00f8b mellem praktik og teori<\/h5>\n

Med en effektiv AI-model og halvandet \u00e5r til f\u00e6rdigg\u00f8relsen af projektet bliver n\u00e6ste skridt at finde ud af, hvordan modellen bedst kan kommunikere til sundhedspersonalet. En disciplin, som ofte bliver overset i forskerverden.<\/p>\n

\u201dVi arbejder meget t\u00e6t sammen med l\u00e6ger og sonografer. Det er utrolig vigtigt, at vi som tekniske forskere f\u00e5r viden om, hvad det er der skal til, for at vores modeller kan rykke noget ude i samfundet,\u201d siger Aasa Feragen.<\/p>\n

Derfor har Ph.D studerende Jakob Ambsdorf f\u00e5et unik adgang til sundhedspersonalet hos Copenhagen Academy for Medical Education and Simulation (CAMES) p\u00e5 Rigshospitalet for at for at forst\u00e5 sundhedspersonalets behov.<\/p>\n

“Jeg har tilbragt meget tid i klinikken p\u00e5 Rigshospitalet for at finde ud af, hvad personalet finder vanskeligt. Derfor ved vi nu, at sonografer ikke n\u00f8dvendigvis har brug for hj\u00e6lp til diagnosticering. De har brug for at forbedre deres billeder. S\u00e5 i stedet for at fors\u00f8ge at efterligne menneskelige beslutninger skal vi forbedre de omkringliggende faktorer. For eksempel kan vi anbefale dem at flytte sonden lidt til h\u00f8jre eller \u00e6ndre nogle indstillinger, som g\u00f8r, at billedet bliver klarere. Som en slags lane-assist til sonografer og l\u00e6ger,\u201d siger han.<\/p>\n

Kan udbredes til tredjeverdenslande<\/h5>\n

Med afslutningen af projektet i sigte i 2025, er det centrale m\u00e5l at bygge ovenp\u00e5 XAI-modellen, s\u00e5 den kan give mindre erfarent sundhedspersonale v\u00e6rkt\u00f8jerne til selv at udf\u00f8re avancerede scanninger. Ikke bare i Danmark, men i hele verden. XAI-modellen fra K\u00f8benhavns Universitet er allerede blevet testet med data fra Tanzania og Sierra Leone.<\/p>\n

\u201dP\u00e5 sigt kan man bruge modellen i omr\u00e5der, hvor der er begr\u00e6nset adgang til udstyr af h\u00f8j kvalitet, og hvor det er sv\u00e6rt at finde specialiseret personale,\u201d slutter Jakob Ambsdorf.<\/p>\n

DIREC har st\u00f8ttet EXPLAIN-ME-projektet med 7,39 mio. kr. Ud over et fokus p\u00e5 ultralydsscanninger fokuserer projektet p\u00e5 diagnosticering af nyre-tumorer og robot-kirurgi<\/a>.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Hvad er forklarlig kunstig intelligens (XAI)? <\/strong><\/h5>\n

Forklarlig kunstig intelligens handler om at forklare baggrunden for AI-modellers output og styrke tilliden til modellens beslutninger. Maskinl\u00e6ringsmodeller bliver mere og mere komplekse. Samtidig bliver de i stigende grad brugt til at tage vigtige beslutninger. Med forklarlig kunstig intelligens kan brugeren bl.a. finde frem til, hvilke data modellen er tr\u00e6net p\u00e5 og vurdere om outputtet er korrekt.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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23. maj 2024<\/b>
Efter to \u00e5rs arbejde har et hold af forskere p\u00e5 tv\u00e6rs af de danske universiteter skabt en kunstig intelligens, der kan bed\u00f8mme kvaliteten af ultralydsscanninger af gravide p\u00e5 baggrund af input fra erfarne l\u00e6ger. Modellen skal agere assistent i sundhedssektoren, s\u00e5 kvaliteten af scanninger kan h\u00f8jnes. Ikke bare i Danmark, men ogs\u00e5 i udviklingslande.<\/p>\n","protected":false},"author":3,"featured_media":29190,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[176,185,31],"tags":[104,63],"class_list":["post-29201","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-da","category-health-tech-da","category-nyheder","tag-p16-da","tag-ws2"],"yoast_head":"\nNu skal AI v\u00e6re sundhedspersonalets \u201dlane assist\u201d ved ultralydsscanninger af gravide - DIREC<\/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:\/\/direc.dk\/da\/nu-skal-ai-vaere-sundhedspersonalets-lane-assist-ved-ultralydsscanninger-af-gravide\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nu skal AI v\u00e6re sundhedspersonalets \u201dlane assist\u201d ved ultralydsscanninger af gravide - DIREC\" \/>\n<meta property=\"og:description\" content=\"23. maj 2024Efter to \u00e5rs arbejde har et hold af forskere p\u00e5 tv\u00e6rs af de danske universiteter skabt en kunstig intelligens, der kan bed\u00f8mme kvaliteten af ultralydsscanninger af gravide p\u00e5 baggrund af input fra erfarne l\u00e6ger. 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