\n
\n\tNature dergisinde yay\u0131mlanan \u00e7al\u0131\u015fmaya g\u00f6re Delphi-2M ad\u0131 verilen yapay zek\u00e2, \u0130ngiltere\u2019nin yar\u0131m milyon kat\u0131l\u0131mc\u0131ya ait biyomedikal veriler i\u00e7eren UK Biobank veri taban\u0131nda e\u011fitildi. Model, dil tabanl\u0131 g\u00f6revlerde kullan\u0131lan ve ChatGPT\u2019nin de temelini olu\u015fturan \u201ctransformer\u201d mimarisi ile \u00e7al\u0131\u015f\u0131yor.<\/p>\n
\n\tAlman Kanser Ara\u015ft\u0131rma Merkezi\u2019nden Moritz Gerstung, \u201cT\u0131bbi te\u015fhis dizilerini anlamak, metinlerdeki dil bilgisi kurallar\u0131n\u0131 \u00f6\u011frenmeye benziyor. Delphi-2M, te\u015fhislerin hangi kombinasyonlarla ve hangi s\u0131rayla ortaya \u00e7\u0131kt\u0131\u011f\u0131n\u0131 \u00f6\u011freniyor\u201d dedi.<\/p>\n
\n\tY\u00fcksek do\u011frulukla risk tahmini<\/h2>\n
\n\tModel, \u00f6zellikle kalp krizi gibi hastal\u0131klarda bireylerin risk seviyesini ya\u015f ve klasik fakt\u00f6rlerin \u00f6tesinde belirleyebildi. Ara\u015ft\u0131rmac\u0131lar, yapay zek\u00e2y\u0131 ayr\u0131ca Danimarka\u2019n\u0131n iki milyon ki\u015filik kamu sa\u011fl\u0131k verisi \u00fczerinde test ederek do\u011frulama yapt\u0131.<\/p>\n
\n\tKlinik kullan\u0131m i\u00e7in erken<\/h2>\n
\n\tBilim insanlar\u0131, sistemin umut verici sonu\u00e7lar verse de hen\u00fcz klinik kullan\u0131ma haz\u0131r olmad\u0131\u011f\u0131n\u0131n alt\u0131n\u0131 \u00e7izdi. \u0130ngiliz ara\u015ft\u0131rmac\u0131 Peter Bannister, kullan\u0131lan veri setlerinin ya\u015f, etnik k\u00f6ken ve mevcut sa\u011fl\u0131k sonu\u00e7lar\u0131 bak\u0131m\u0131ndan yanl\u0131 olabilece\u011fine dikkat \u00e7ekti.<\/p>\n
\n\tBuna ra\u011fmen uzmanlar, gelecekte bu t\u00fcr sistemlerin sa\u011fl\u0131k hizmetlerini d\u00f6n\u00fc\u015ft\u00fcrebilece\u011fini d\u00fc\u015f\u00fcn\u00fcyor. Delphi-2M gibi yapay zek\u00e2lar sayesinde:<\/p>\n
\n\tHastalar daha yak\u0131ndan izlenebilecek,<\/p>\n
\n\t\u00d6nleyici tedbirler daha erken al\u0131nabilecek,<\/p>\n
\n\tSa\u011fl\u0131k sistemlerinde kaynak kullan\u0131m\u0131 optimize edilebilecek.<\/p>\n
\n\tT\u00fcm hastal\u0131klar\u0131 tek seferde tarayabiliyor<\/h2>\n
\n\tMevcut yaz\u0131l\u0131mlar genellikle kalp krizi veya fel\u00e7 gibi tek bir hastal\u0131k i\u00e7in risk analizi yapabiliyor. Ancak Delphi-2M, ayn\u0131 anda 1000\u2019den fazla hastal\u0131\u011f\u0131n uzun vadeli riskini tahmin edebiliyor.<\/p>\n
\n\tKing\u2019s College London\u2019dan Prof. Gustavo Sudre, \u00e7al\u0131\u015fmay\u0131 \u201c\u00f6l\u00e7eklenebilir, yorumlanabilir ve en \u00f6nemlisi etik a\u00e7\u0131dan sorumlu bir tahmin modeli geli\u015ftirme yolunda \u00f6nemli bir ad\u0131m\u201d olarak de\u011ferlendirdi.<\/p>\n
\n\tBilim insanlar\u0131na g\u00f6re, t\u0131pta \u201cyorumlanabilir yapay zek\u00e2\u201d en \u00f6nemli hedeflerden biri olmaya devam ediyor. Bu sayede hem doktorlar hem de hastalar, yapay zek\u00e2n\u0131n verdi\u011fi \u00f6ng\u00f6r\u00fclerin nas\u0131l ortaya \u00e7\u0131kt\u0131\u011f\u0131n\u0131 anlayabilecek.<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"
Nature dergisinde yay\u0131mlanan \u00e7al\u0131\u015fmaya g\u00f6re Delphi-2M ad\u0131 verilen yapay zek\u00e2, \u0130ngiltere\u2019nin yar\u0131m milyon kat\u0131l\u0131mc\u0131ya ait biyomedikal veriler i\u00e7eren UK Biobank veri taban\u0131nda e\u011fitildi. Model, dil tabanl\u0131 g\u00f6revlerde kullan\u0131lan ve ChatGPT\u2019nin de temelini olu\u015fturan \u201ctransformer\u201d mimarisi ile \u00e7al\u0131\u015f\u0131yor.
Alman Kanser Ara\u015ft\u0131rma Merkezi\u2019nden Moritz Gerstung, \u201cT\u0131bbi te\u015fhis dizilerini anlamak, metinlerdeki dil bilgisi kurallar\u0131n\u0131 \u00f6\u011frenmeye benziyor. […]<\/p>\n","protected":false},"author":1,"featured_media":29481,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[],"footnotes":""},"categories":[2],"tags":[],"class_list":["post-29480","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dunya"],"yoast_head":"\n
Bilim insanlar\u0131 1000den fazla hastal\u0131\u011f\u0131 y\u0131llar \u00f6ncesinden tahmin eden yapay zeka geli\u015ftirdi - Haber Kuzey<\/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:\/\/haberkuzey.com\/index.php\/2025\/09\/19\/bilim-insanlari-1000den-fazla-hastaligi-yillar-oncesinden-tahmin-eden-yapay-zeka-gelistirdi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Bilim insanlar\u0131 1000den fazla hastal\u0131\u011f\u0131 y\u0131llar \u00f6ncesinden tahmin eden yapay zeka geli\u015ftirdi - Haber Kuzey\" \/>\n<meta property=\"og:description\" content=\"
Nature dergisinde yay\u0131mlanan \u00e7al\u0131\u015fmaya g\u00f6re Delphi-2M ad\u0131 verilen yapay zek\u00e2, \u0130ngiltere\u2019nin yar\u0131m milyon kat\u0131l\u0131mc\u0131ya ait biyomedikal veriler i\u00e7eren UK Biobank veri taban\u0131nda e\u011fitildi. Model, dil tabanl\u0131 g\u00f6revlerde kullan\u0131lan ve ChatGPT\u2019nin de temelini olu\u015fturan \u201ctransformer\u201d mimarisi ile \u00e7al\u0131\u015f\u0131yor.
Alman Kanser Ara\u015ft\u0131rma Merkezi\u2019nden Moritz Gerstung, \u201cT\u0131bbi te\u015fhis dizilerini anlamak, metinlerdeki dil bilgisi kurallar\u0131n\u0131 \u00f6\u011frenmeye benziyor. 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Haber Kuzey","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/haberkuzey.com\/index.php\/2025\/09\/19\/bilim-insanlari-1000den-fazla-hastaligi-yillar-oncesinden-tahmin-eden-yapay-zeka-gelistirdi\/","og_locale":"tr_TR","og_type":"article","og_title":"Bilim insanlar\u0131 1000den fazla hastal\u0131\u011f\u0131 y\u0131llar \u00f6ncesinden tahmin eden yapay zeka geli\u015ftirdi - Haber Kuzey","og_description":"
Nature dergisinde yay\u0131mlanan \u00e7al\u0131\u015fmaya g\u00f6re Delphi-2M ad\u0131 verilen yapay zek\u00e2, \u0130ngiltere\u2019nin yar\u0131m milyon kat\u0131l\u0131mc\u0131ya ait biyomedikal veriler i\u00e7eren UK Biobank veri taban\u0131nda e\u011fitildi. Model, dil tabanl\u0131 g\u00f6revlerde kullan\u0131lan ve ChatGPT\u2019nin de temelini olu\u015fturan \u201ctransformer\u201d mimarisi ile \u00e7al\u0131\u015f\u0131yor.
Alman Kanser Ara\u015ft\u0131rma Merkezi\u2019nden Moritz Gerstung, \u201cT\u0131bbi te\u015fhis dizilerini anlamak, metinlerdeki dil bilgisi kurallar\u0131n\u0131 \u00f6\u011frenmeye benziyor. 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