{"id":6361,"date":"2023-10-11T20:13:23","date_gmt":"2023-10-11T20:13:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=6361"},"modified":"2023-10-11T20:21:52","modified_gmt":"2023-10-11T20:21:52","slug":"ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/10\/ai-models-helps-brain-surgeons-detect-and-analyze-tumor-types-on-the-fly\/","title":{"rendered":"Ny AI-modell hjelper hjernekirurger med \u00e5 analysere svulster i farta"},"content":{"rendered":"

Hjernekirurger m\u00e5 ofte ta kritiske avgj\u00f8relser gjennom hele prosessen med \u00e5 fjerne svulsten.\u00a0<\/b><\/p>\n

N\u00e5 har nederlandske forskere introdusert et AI-verkt\u00f8y som kan hjelpe kirurgene med \u00e5 ta beslutninger under operasjonen, og som gir dem lynrask innsikt i svulsttyper og undertyper.<\/p>\n

If\u00f8lge en nylig publisert <\/span>studie publisert i Nature<\/span><\/a>unders\u00f8ker den kunstige intelligensen spesifikke segmenter av en svulsts DNA og identifiserer distinkte kjemiske strukturer. <\/span><\/p>\n

Denne analysen gir innsikt i svulstens type og muligens dens subtype. Slik informasjon kan veilede kirurgene i deres tiln\u00e6rming til den kirurgiske operasjonen.<\/span><\/p>\n

\"Det er avgj\u00f8rende at svulstens subtype er kjent p\u00e5 operasjonstidspunktet\", sier Jeroen de Ridder, f\u00f8rsteamanuensis ved UMC Utrecht. \"Det vi n\u00e5 har gjort mulig, er at vi kan stille denne sv\u00e6rt finkornede, robuste og detaljerte diagnosen allerede under operasjonen.\"<\/span><\/p>\n

Dybdel\u00e6ringssystemet deres, kalt Sturgeon, ble utsatt for grundige tester. I visse innledende tester avsto AI-en fra \u00e5 stille diagnose p\u00e5 grunn av tvetydige data.<\/span><\/p>\n

Forskerne demonstrerte modellens effektivitet i sanntid p\u00e5 25 operasjoner, og oppn\u00e5dde en rask diagnostisk behandlingstid p\u00e5 under 90 minutter, mye raskere enn tradisjonelle metoder. 72% av diagnosene var korrekte, men syv n\u00e5dde ikke den n\u00f8dvendige konfidensgrensen.<\/p>\n

Mens standard diagnostisk prosess inneb\u00e6rer en mikroskopisk unders\u00f8kelse av hjernesvulstpr\u00f8ver, gir omfattende genetisk sekvensering dypere innsikt. Men som Dr. Alan Cohen fra Johns Hopkins understreket: \"Vi m\u00e5 starte behandlingen uten \u00e5 vite hva vi behandler.\"<\/span><\/p>\n

Dr. de Ridder forklarte AI-ens kapasitet ytterligere: \"Den kan selv finne ut hva den ser p\u00e5, og foreta en robust klassifisering.\"<\/span><\/p>\n

Noen utfordringer gjenst\u00e5r likevel. Variabilitet i svulsten, utvalgsst\u00f8rrelse og enkelte svulster som er vanskelige \u00e5 f\u00e5 tak i, kan by p\u00e5 problemer. Marc Pag\u00e8s-Gallego, en av studiens medforfattere, fortalte litt om hvordan de h\u00e5ndterte disse problemene.<\/span><\/p>\n

Dr. Sebastian Brandner fra University College London kommenterte de praktiske aspektene, og hevdet at \"implementeringen i seg selv er mindre enkel enn ofte antatt\".<\/span><\/p>\n

Selv om verkt\u00f8yet representerer et betydelig fremskritt, har det ogs\u00e5 sine begrensninger.\u00a0<\/span><\/p>\n

A<\/span>Cohen innr\u00f8mmet: \"Vi har gjort noen fremskritt, men ikke s\u00e5 mange n\u00e5r det gjelder behandlingen som n\u00e5r det gjelder forst\u00e5elsen av svulstenes molekyl\u00e6re profil.\"<\/span><\/p>\n

Mer om studien<\/span><\/h2>\n

Det innovative verkt\u00f8yet \"Sturgeon\" bruker dyp l\u00e6ring for \u00e5 forbedre den intraoperative klassifiseringen av hjernesvulster, noe som bidrar til bedre kirurgiske beslutninger.\u00a0<\/span><\/p>\n

Modellen er utviklet for \u00e5 v\u00e6re \"ultrarask\" n\u00e5r det gjelder \u00e5 klassifisere tumortyper og subtyper.<\/span><\/p>\n

    \n
  • Utfordringer:<\/b> Det er vanskelig \u00e5 klassifisere svulster under operasjonen p\u00e5 grunn av begrenset sekvenseringstid og usikker datadekning.\u00a0<\/span><\/li>\n
  • Sturgeons l\u00f8sning:<\/b> Dette dybdel\u00e6ringssystemet bruker data fra allment tilgjengelige metyleringsdata, som brukes til \u00e5 profilere hjernesvulster. Sturgeon outsourcer intensive beregningsoppgaver for \u00e5 minimere databehandlingsressursene under operasjonen.<\/span><\/li>\n
  • Prestasjoner:<\/b> Modellen har vist konsistente resultater, men tar ofte ikke hensyn til intratumormangfoldet. Den ga riktig diagnose i 72% av de kirurgiske testene.\u00a0<\/span><\/li>\n
  • Fremtidig utvikling:<\/b> Etter hvert som mer data samles inn, vil Sturgeons data bli utvidet, selv om begrensninger i datadeling p\u00e5 grunn av personvernhensyn gj\u00f8r det vanskelig \u00e5 l\u00e6re p\u00e5 tvers av institusjoner.\u00a0<\/span><\/li>\n
  • Begrensninger:<\/b> En potensiell begrensning er mengden vev som kreves. Modellen krever en pr\u00f8vest\u00f8rrelse p\u00e5 ca. 5 x 5 x 5 mm for \u00e5 oppn\u00e5 best mulig resultat, men det har vist seg \u00e5 v\u00e6re mulig \u00e5 utvinne tilstrekkelig DNA fra mindre pr\u00f8ver.<\/span><\/li>\n<\/ul>\n

    Med Sturgeon kan man f\u00e5 svar p\u00e5 svulstdiagnostikk i l\u00f8pet av 90 minutter, noe som er i tr\u00e5d med tidsskjemaet for kirurgiske inngrep. Dette gir kirurgene innsikt i sanntid, slik at de kan ta bedre beslutninger under operasjonen.\u00a0<\/span><\/p>\n

    Selv om Sturgeons data er nyttige, b\u00f8r de ideelt sett brukes sammen med en utdannet patologs vurdering, if\u00f8lge studien.\u00a0<\/span><\/p>\n

    Sturgeon f\u00f8yer seg inn i rekken av banebrytende medisinsk orienterte AI-modeller som er skapt i \u00e5r, og som illustrerer teknologiens evne til \u00e5 endre resultatene i helsevesenet.<\/p>","protected":false},"excerpt":{"rendered":"

    Hjernekirurger m\u00e5 ofte ta kritiske avgj\u00f8relser under hele prosessen med \u00e5 fjerne svulster. N\u00e5 har nederlandske forskere introdusert et AI-verkt\u00f8y som kan hjelpe kirurgene med \u00e5 ta beslutninger under operasjonen, ved \u00e5 gi dem lynrask innsikt i svulsttyper og undertyper. If\u00f8lge en fersk studie publisert i Nature unders\u00f8ker den kunstige intelligensen spesifikke segmenter av en tumors DNA og identifiserer distinkte kjemiske strukturer. Denne analysen gir innsikt i svulstens type og muligens subtype. Slik informasjon kan veilede kirurgene i deres tiln\u00e6rming til det kirurgiske inngrepet. \"Det er avgj\u00f8rende at svulstens subtype er kjent p\u00e5 operasjonstidspunktet\", sier Jeroen de Ridder, en av<\/p>","protected":false},"author":2,"featured_media":6362,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[203,204,101],"class_list":["post-6361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-biotech","tag-healthcare","tag-medtech"],"yoast_head":"\nNew AI model helps brain surgeons analyze tumors on the fly | DailyAI<\/title>\n<meta name=\"description\" content=\"Brain surgeons often grapple with critical decisions when addressing the boundaries of tumors.\" \/>\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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