{"id":660,"date":"2026-08-14T17:02:18","date_gmt":"2026-08-14T14:02:18","guid":{"rendered":"https:\/\/www.tayfnews.tech\/tr\/genel\/microsoft-reveals-care-x-medical-vision-model\/"},"modified":"2026-08-14T17:02:18","modified_gmt":"2026-08-14T14:02:18","slug":"microsoft-reveals-care-x-medical-vision-model","status":"publish","type":"post","link":"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/","title":{"rendered":"Microsoft, CARE-X T\u0131bbi G\u00f6r\u00fcnt\u00fcleme Modelini Duyurdu"},"content":{"rendered":"<p>Mart 2025&#8217;te <strong>Microsoft<\/strong> Research, temel te\u015fhis metni \u00fcretiminin \u00f6tesine ge\u00e7en ve g\u00f6\u011f\u00fcs r\u00f6ntgeni yorumlar\u0131n\u0131 geli\u015ftirmek i\u00e7in tasarlanan CARE-X adl\u0131 \u00f6zel yapay zeka modelini resmen duyurdu. Sistem, hastanelerin t\u0131bbi g\u00f6r\u00fcnt\u00fcleme s\u00fcre\u00e7lerini d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in esnek ak\u0131l y\u00fcr\u00fctme mimarilerini hassas denetim \u00e7er\u00e7eveleriyle birle\u015ftiriyor.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_86 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0130\u00e7indekiler<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"\u0130\u00e7indekiler Tablosunu A\u00e7\/Kapat\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#CARE-X_Hakkinda_Temel_Bilgiler\" >CARE-X Hakk\u0131nda Temel Bilgiler<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#Odul_Tabanli_Ogrenmenin_Mekanigi\" >\u00d6d\u00fcl Tabanl\u0131 \u00d6\u011frenmenin Mekani\u011fi<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#Pratikte_Arac_Destekli_Olcum\" >Pratikte Ara\u00e7 Destekli \u00d6l\u00e7\u00fcm<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#Kuresel_Saglik_Icin_Onemi\" >K\u00fcresel Sa\u011fl\u0131k \u0130\u00e7in \u00d6nemi<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#Tibbi_Yapay_Zekanin_Tarihsel_Evrimi\" >T\u0131bbi Yapay Zekan\u0131n Tarihsel Evrimi<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#Paydas_Analizi_Kim_Kazaniyor_Kim_Adapte_Oluyor\" >Payda\u015f Analizi: Kim Kazan\u0131yor, Kim Adapte Oluyor?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.tayfnews.tech\/tr\/health-medicine\/microsoft-reveals-care-x-medical-vision-model\/#Klinik_Bilisimde_Sirada_Ne_Var\" >Klinik Bili\u015fimde S\u0131rada Ne Var?<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"CARE-X_Hakkinda_Temel_Bilgiler\"><\/span>CARE-X Hakk\u0131nda Temel Bilgiler<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>CARE-X<\/strong>, Microsoft Research taraf\u0131ndan geli\u015fmi\u015f t\u0131bbi g\u00f6r\u00fcnt\u00fc analizi i\u00e7in geli\u015ftirilen b\u00fct\u00fcnc\u00fcl bir yap\u0131d\u0131r.<\/li>\n<li>Mimari; yard\u0131mc\u0131 denetim, \u00f6d\u00fcl tabanl\u0131 \u00f6\u011frenme ve \u00f6l\u00e7\u00fcm ara\u00e7lar\u0131n\u0131 tek bir yaz\u0131l\u0131m platformunda birle\u015ftiriyor.<\/li>\n<li>Model, te\u015fhis yan\u0131lsamalar\u0131n\u0131 ve klinik hatalar\u0131 azaltmak i\u00e7in \u00f6zellikle g\u00f6\u011f\u00fcs r\u00f6ntgeni yorumlamas\u0131n\u0131 hedefliyor.<\/li>\n<li>Eski modellerin aksine CARE-X, piksel d\u00fczeyindeki \u00f6l\u00e7\u00fcmleri do\u011frudan klinik k\u0131lavuzlara g\u00f6re do\u011frulamak i\u00e7in \u00e7e\u015fitli ara\u00e7lar kullan\u0131r.<\/li>\n<\/ul>\n<p>Te\u015fhis departmanlar\u0131 her y\u0131l petabaytlarca yap\u0131land\u0131r\u0131lmam\u0131\u015f g\u00f6rsel veri \u00fcreterek k\u00fcresel i\u015f ak\u0131\u015flar\u0131nda ciddi t\u0131kan\u0131kl\u0131klara yol a\u00e7\u0131yor. Geleneksel yapay zeka modelleri genellikle temel \u00f6l\u00e7\u00fcmleri do\u011frulamadan a\u00e7\u0131klay\u0131c\u0131 \u00f6zetler sunar. Bu eski sistemler, sekt\u00f6rde hall\u00fcsinasyon olarak bilinen ve kula\u011fa do\u011fru gelen te\u015fhis hatalar\u0131 \u00fcretir. CARE-X, kat\u0131 matematiksel ve g\u00f6rsel tutarl\u0131l\u0131\u011f\u0131 sa\u011flayarak bu kritik bo\u015flu\u011fu kapatmaya \u00e7al\u0131\u015f\u0131r. Modern klinisyenler, sadece tahmin y\u00fcr\u00fctmekle kalmay\u0131p analitik ad\u0131mlar\u0131n\u0131 kan\u0131tlayan sistemlere ihtiya\u00e7 duyar.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Odul_Tabanli_Ogrenmenin_Mekanigi\"><\/span>\u00d6d\u00fcl Tabanl\u0131 \u00d6\u011frenmenin Mekani\u011fi<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u00d6d\u00fcl tabanl\u0131 \u00f6\u011frenme, sinir a\u011f\u0131n\u0131 bi\u00e7imsel ak\u0131c\u0131l\u0131ktan ziyade klinik do\u011frulu\u011fa \u00f6ncelik verecek \u015fekilde e\u011fitir. Standart dil modelleri, \u00f6zel alanlarda kat\u0131 ger\u00e7e\u011fe uygunluk yerine insan benzeri c\u00fcmleler \u00fcretmeye odaklan\u0131r. Microsoft, CARE-X&#8217;in e\u011fitim s\u00fcrecini, tehlikeli s\u0131n\u0131fland\u0131rma hatalar\u0131n\u0131 aktif olarak cezaland\u0131racak \u015fekilde yap\u0131land\u0131r\u0131r. Bu optimizasyon, her te\u015fhis iddias\u0131n\u0131n t\u0131bbi k\u0131staslarla kusursuz bir \u015fekilde uyu\u015fmas\u0131n\u0131 sa\u011flar. Sistem, sonu\u00e7lar\u0131 uzmanlara sunmadan \u00f6nce kendi \u00e7\u0131kt\u0131s\u0131n\u0131 radyolojik verilerle kar\u015f\u0131la\u015ft\u0131r\u0131r.<\/p>\n<p>Yard\u0131mc\u0131 denetim, modeli anatomik do\u011fruluk ve hassasiyete y\u00f6nlendiren ikincil e\u011fitim sinyalleri sa\u011flar. Standart bir yapay zeka modeli, t\u00fcm g\u00f6\u011f\u00fcs r\u00f6ntgenine tek bir b\u00fct\u00fcn olarak bakabilir. CARE-X ise te\u015fhis s\u00fcrecini ek veri katmanlar\u0131 kullanarak ayr\u0131 anatomik b\u00f6lgelere ay\u0131r\u0131r. Bu ayr\u0131nt\u0131l\u0131 g\u00f6zetim, algoritman\u0131n k\u00fc\u00e7\u00fck nod\u00fclleri ka\u00e7\u0131rmas\u0131n\u0131 engeller. Sa\u011fl\u0131k profesyonelleri, algoritman\u0131n belirli sonu\u00e7lara nas\u0131l ula\u015ft\u0131\u011f\u0131n\u0131 \u015feffaf bir \u015fekilde g\u00f6r\u00fcr.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Pratikte_Arac_Destekli_Olcum\"><\/span>Pratikte Ara\u00e7 Destekli \u00d6l\u00e7\u00fcm<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Ara\u00e7 destekli \u00f6l\u00e7\u00fcm, yapay zeka sisteminin d\u0131\u015f hesaplama ara\u00e7lar\u0131yla g\u00fcvenli bir \u015fekilde etkile\u015fime girmesini sa\u011flar. CARE-X, kalbin boyutunu g\u00f6rsel olarak tahmin etmek yerine kardiyotorasik oran\u0131 belirlemek i\u00e7in hassas piksel tabanl\u0131 hesaplamalar yapar. Bu programatik m\u00fcdahaleler, sinir a\u011f\u0131n\u0131 olas\u0131l\u0131kl\u0131 tahminler yerine deterministli\u011fe dayand\u0131r\u0131r. D\u0131\u015f ara\u00e7lar\u0131n entegrasyonu, kritik \u00f6l\u00e7\u00fcmlerdeki hata pay\u0131n\u0131 azalt\u0131r. Algoritmalar hesaplay\u0131c\u0131lar\u0131 s\u00fcrece dahil etti\u011finde klinik g\u00fcvenlik \u00f6nemli \u00f6l\u00e7\u00fcde artar.<\/p>\n<p>Radyoloji departmanlar\u0131 halihaz\u0131rda ciddi personel s\u0131k\u0131nt\u0131s\u0131 ve artan tarama hacimleriyle kar\u015f\u0131 kar\u015f\u0131ya kalmaktad\u0131r. Yapay zeka benimsenmesi, sorumluluk endi\u015feleri ve a\u00e7\u0131klanabilirlik eksikli\u011fi nedeniyle yava\u015f ilerlemektedir. CARE-X, her te\u015fhis \u00f6nerisi i\u00e7in denetlenebilir izler sa\u011flayarak bu engelleri do\u011frudan ortadan kald\u0131r\u0131r. Hastaneler, sistemi kat\u0131 klinik parametreler dahilinde g\u00fcvenle \u00e7al\u0131\u015fabildi\u011fini bilerek kullanabilir.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Kuresel_Saglik_Icin_Onemi\"><\/span>K\u00fcresel Sa\u011fl\u0131k \u0130\u00e7in \u00d6nemi<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>CARE-X&#8217;in piyasaya s\u00fcr\u00fclmesi, deneysel t\u0131bbi sohbet botlar\u0131ndan do\u011frulanabilir klinik ara\u00e7lara do\u011fru kritik bir ge\u00e7i\u015fe i\u015faret ediyor. Sa\u011fl\u0131k kurulu\u015flar\u0131, y\u00fcksek riskli ortamlarda \u00f6ng\u00f6r\u00fclemeyen \u015fekilde ba\u015far\u0131s\u0131z olan kara kutu sistemleri g\u00f6ze alamaz. Microsoft, \u00f6d\u00fcl uyarlamas\u0131n\u0131 ve \u00f6l\u00e7\u00fcm ara\u00e7lar\u0131n\u0131 mimariye do\u011frudan g\u00f6merek t\u0131bbi g\u00f6r\u00fcnt\u00fcleme yaz\u0131l\u0131mlar\u0131 i\u00e7in yeni bir standart belirliyor. Hastalar daha h\u0131zl\u0131 ve do\u011fru te\u015fhislerden yararlan\u0131rken, radyologlar g\u00fcvenilir ikinci do\u011frulama ara\u00e7lar\u0131na kavu\u015fuyor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Tibbi_Yapay_Zekanin_Tarihsel_Evrimi\"><\/span>T\u0131bbi Yapay Zekan\u0131n Tarihsel Evrimi<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>G\u00fcvenilir klinik yapay zekaya giden yolculuk, kural tabanl\u0131 mant\u0131\u011fa dayanan uzman sistemlerle onlarca y\u0131l \u00f6nce ba\u015flad\u0131. Makine \u00f6\u011frenimi geli\u015ftik\u00e7e evri\u015fimli sinir a\u011flar\u0131 g\u00f6r\u00fcnt\u00fc s\u0131n\u0131fland\u0131rmas\u0131nda devrim yaratt\u0131, ancak bunlar temelde a\u00e7\u0131klanamayan kara kutulard\u0131. Yapay zeka modellerindeki son patlama, radyolojiye sohbet yetenekleri getirdi ancak metin \u00fcretimi genellikle temel ger\u00e7eklerden uzakt\u0131. Microsoft&#8217;un CARE-X modeli, hal\u00fcsinasyon krizini \u00e7\u00f6zmek i\u00e7in \u00fcretken ak\u0131c\u0131l\u0131\u011f\u0131 matematiksel do\u011frulukla birle\u015ftiriyor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Paydas_Analizi_Kim_Kazaniyor_Kim_Adapte_Oluyor\"><\/span>Payda\u015f Analizi: Kim Kazan\u0131yor, Kim Adapte Oluyor?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>CARE-X gibi geli\u015fmi\u015f do\u011frulama modellerinin sunulmas\u0131, sa\u011fl\u0131k payda\u015flar\u0131n\u0131 farkl\u0131 \u015fekillerde etkilemektedir. Radyologlar ve klinik personel, t\u00fckenmi\u015fli\u011fi azaltan g\u00fcvenilir ikinci g\u00f6r\u00fc\u015fler alarak en \u00e7ok kazananlar aras\u0131nda yer al\u0131yor. Hastane y\u00f6neticileri ise azalt\u0131lm\u0131\u015f yasal sorumluluk ve kolayla\u015ft\u0131r\u0131lm\u0131\u015f i\u015f ak\u0131\u015flar\u0131ndan faydalan\u0131yor. Buna kar\u015f\u0131l\u0131k, eski kara kutu yapay zeka sistemlerinin geli\u015ftiricileri, eskime riskiyle kar\u015f\u0131 kar\u015f\u0131ya kal\u0131yor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Klinik_Bilisimde_Sirada_Ne_Var\"><\/span>Klinik Bili\u015fimde S\u0131rada Ne Var?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Ba\u011f\u0131ms\u0131z t\u0131p kurumlar\u0131, CARE-X&#8217;in performans\u0131n\u0131 farkl\u0131 hasta demografilerinde do\u011frulamal\u0131d\u0131r. D\u00fczenleyici kurumlar, uluslararas\u0131 t\u0131bbi cihaz standartlar\u0131na tam uyum sa\u011flamak i\u00e7in arac\u0131 inceleyecektir. Microsoft, temel metodolojiyi bilgisayarl\u0131 tomografi ve manyetik rezonans g\u00f6r\u00fcnt\u00fcleme dahil olmak \u00fczere di\u011fer tarama t\u00fcrlerine de geni\u015fletmeyi planl\u0131yor. Geni\u015f t\u0131p teknolojisi sekt\u00f6r\u00fc, klinik bili\u015fimde rekabet\u00e7i kalabilmek i\u00e7in benzer mimarileri muhtemelen benimseyecektir.<\/p>\n<p><em>Kaynak: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/introducing-care-x-towards-clinically-useful-radiology-vlms-with-auxiliary-supervision-reward-aligned-learning-and-tool-augmented-measurement\/\" target=\"_blank\" rel=\"noopener noreferrer\">Orijinal Makale<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microsoft, g\u00f6\u011f\u00fcs r\u00f6ntgeni yorumlama do\u011frulu\u011funu art\u0131rmak ve te\u015fhis hatalar\u0131n\u0131 azaltmak i\u00e7in geli\u015ftirdi\u011fi CARE-X modelini tan\u0131tt\u0131.<\/p>\n","protected":false},"author":1,"featured_media":659,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowrrDMDA:productID":"","footnotes":"","rank_math_focus_keyword":"Microsoft, CARE-X, radyoloji yapay zekas\u0131, sa\u011fl\u0131k, teknoloji, te\u015fhis","rank_math_title":"Microsoft, CARE-X T\u0131bbi G\u00f6r\u00fcnt\u00fcleme Modelini Duyurdu","rank_math_description":"Microsoft, g\u00f6\u011f\u00fcs r\u00f6ntgeni yorumlama do\u011frulu\u011funu art\u0131rmak ve te\u015fhis hatalar\u0131n\u0131 azaltmak i\u00e7in geli\u015ftirdi\u011fi CARE-X modelini tan\u0131tt\u0131."},"categories":[10],"tags":[],"class_list":["post-660","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health-medicine"],"_links":{"self":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/660","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/comments?post=660"}],"version-history":[{"count":0,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/posts\/660\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/media\/659"}],"wp:attachment":[{"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/media?parent=660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/categories?post=660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tayfnews.tech\/tr\/wp-json\/wp\/v2\/tags?post=660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}