<\/p>\n
Hematolojik Nadir Hastal\u0131klar Derne\u011fince Hematolojik Nadir Hastal\u0131klar Kongresi’nin 7’ncisi, KKTC’de d\u00fczenlendi.<\/p>\n
T\u0131pta yapay zeka \u00e7al\u0131\u015fmalar\u0131na ili\u015fkin AA muhabirine de\u011ferlendirmelerde bulunan Hematolojik Nadir Hastal\u0131klar Derne\u011fi Kurucu Ba\u015fkan\u0131 Prof. Dr. Fevzi Altunta\u015f, bir\u00e7ok alanda kullan\u0131lmaya ba\u015flan\u0131lan yapay zekan\u0131n, sa\u011fl\u0131k alan\u0131nda da kullan\u0131lmas\u0131 i\u00e7in \u00f6nemli \u00e7al\u0131\u015fmalar yap\u0131ld\u0131\u011f\u0131n\u0131 ve \u00e7ok h\u0131zl\u0131 ilerleme kaydedildi\u011fini s\u00f6yledi.<\/p>\n
Yapay zekan\u0131n \u00f6zellikle kanser tan\u0131s\u0131nda hayati \u00f6neme sahip oldu\u011funu vurgulayan Altunta\u015f, \u015f\u00f6yle konu\u015ftu:<\/p>\n
“Sa\u011fl\u0131kta verimsizlik k\u00fcresel d\u00fczeyde yakla\u015f\u0131k y\u00fczde 40’lara ula\u015fm\u0131\u015ft\u0131r. S\u00f6z konusu kay\u0131plar\u0131n yakla\u015f\u0131k yar\u0131s\u0131 yapay zeka uygulamalar\u0131yla klinik ya da operasyonel anlamda d\u00fczeltilebilir s\u00fcre\u00e7lere ba\u011fl\u0131d\u0131r. Yapay zeka, tedavi yollar\u0131n\u0131n ve hasta sigortas\u0131n\u0131n do\u011frulanmas\u0131, t\u0131bbi kay\u0131tlar\u0131n ve veri setlerinin iyile\u015ftirilmesi gibi rutin i\u015f s\u00fcre\u00e7lerinin geli\u015ftirilmesinde ve verimlili\u011fin artmas\u0131nda \u00f6nemli bir etkiye sahip olacak ayr\u0131ca tan\u0131 ve tedavide, hekimin elini g\u00fc\u00e7lendirecek. Hen\u00fcz \u00e7ok yeni bile olsa, t\u0131bbi g\u00f6r\u00fcnt\u00fcleme uzmanlar\u0131n\u0131n, radyografi, PET\/Scan, MR, USG ile elde ettikleri g\u00f6r\u00fcnt\u00fcleri daha iyi ay\u0131rt etmeleri, tan\u0131mlamalar\u0131, s\u0131n\u0131fland\u0131rmalar\u0131 ve yorumlamalar\u0131n\u0131 sa\u011fl\u0131yor.<\/p>\n
Genom ara\u015ft\u0131rmalar\u0131n\u0131n, ileri molek\u00fcler y\u00f6ntemlerle de\u011ferlendirilmesini kolayla\u015ft\u0131r\u0131yor. Veri tabanlar\u0131yla semptomlar\u0131n incelenerek, hastan\u0131n durumunun analiz edilmesine olanak veriyor. Gerekli analizlerin yap\u0131larak te\u015fhisin konulmas\u0131 ve uygun tedavilerin d\u00fczenlenmesine kolayl\u0131k sa\u011fl\u0131yor. \u00d6rne\u011fin, kansere ba\u011fl\u0131 proteinlerin biyopsi g\u00f6r\u00fcnt\u00fcleriyle belirlenip analiz edilerek h\u0131zla te\u015fhisin konulmas\u0131 ve tedavi ba\u015flanmas\u0131 m\u00fcmk\u00fcn oluyor.”<\/p>\n
Yapay zekan\u0131n, geli\u015fmi\u015f\u0327 bilgi teknolojilerini kullanarak t\u0131bbi ara\u015ft\u0131rma, klinik ara\u015ft\u0131rma ve sa\u011fl\u0131k \u00e7\u00f6z\u00fcmlerini kolayla\u015ft\u0131rmas\u0131na yard\u0131mc\u0131 dijital bir ara\u00e7 olaca\u011f\u0131n\u0131 aktaran Altunta\u015f, “Lenf nodu h\u00fccrelerini inceleyerek meme kanserinin varl\u0131\u011f\u0131n\u0131 belirleyebilen yapay zekaya dayal\u0131 otomatik bir kanser te\u015fhis y\u00f6ntemi geli\u015ftirildi.” bilgisini verdi.<\/p>\n
Altunta\u015f, yapay zekan\u0131n \u00fclkelere, b\u00f6lgelere \u00f6zg\u00fc kanser riski sorununu belirlemek i\u00e7in de kullan\u0131laca\u011f\u0131n\u0131 belirterek, “Y\u00fcksek kaliteli hasta verilerinin b\u00fcy\u00fck miktarlarda makine \u00f6\u011frenmesine dayanan yapay zeka, akci\u011fer k\u00fc\u00e7\u00fck nod\u00fclleri ve serviks kanseri de dahil olmak \u00fczere \u00e7e\u015fitli hastal\u0131klar\u0131n tan\u0131mlanmas\u0131nda kullan\u0131l\u0131yor.” dedi.<\/p>\n
“Yapay zekan\u0131n Toraks Bilgisayarl\u0131 Tomografi g\u00f6r\u00fcnt\u00fclerinin analizinin kanserde en \u00f6nemli \u00f6l\u00fcm sebebi olan enfeksiyona ba\u011fl\u0131 hastal\u0131klar\u0131n tan\u0131s\u0131n\u0131 kolayla\u015ft\u0131rabildi\u011fini anlatan Altunta\u015f, \u015funlar\u0131 kaydetti:<\/p>\n
“Yapay zeka meme ve akci\u011fer kanseri gibi s\u0131k g\u00f6r\u00fclen kanserlerin erken te\u015fhisinde de kullan\u0131labiliyor. Yap\u0131lan \u00e7al\u0131\u015fmalar, yapay zekan\u0131n kanser tan\u0131s\u0131na kadar ge\u00e7en s\u00fcreyi yakla\u015f\u0131k y\u00fczde 50’ye kadar azaltabildi\u011fini, ayn\u0131 zamanda erken te\u015fhis oranlar\u0131n\u0131 da yakla\u015f\u0131k y\u00fczde 20 oran\u0131nda art\u0131rd\u0131\u011f\u0131n\u0131 g\u00f6stermektedir. Dolay\u0131s\u0131yla, yapay zeka kanserde hem tan\u0131ya kadar ge\u00e7en s\u00fcreyi \u00f6nemli \u00f6l\u00e7\u00fcde k\u0131saltmakta hem de erken te\u015fhis sayesinde tedavi ba\u015far\u0131 oran\u0131n\u0131 art\u0131rmaktad\u0131r.”<\/p>\n
Altunta\u015f, hekime kolayl\u0131k sa\u011flayan yapay zekan\u0131n, tart\u0131\u015fmas\u0131z b\u00fcy\u00fck \u00f6neme sahip oldu\u011funu ancak hekimin tecr\u00fcbesinin \u00f6n\u00fcne ge\u00e7emeyece\u011fini vurgulayarak, “Tan\u0131 ve tedavide hekim \u00f6n plandad\u0131r ve \u00f6yle kalacakt\u0131r. \u00d6zellikle muayene bir hekim i\u00e7in tan\u0131 i\u00e7in en \u00f6nemli ad\u0131md\u0131r ve bunu ancak ve ancak hekim yapabilir. Bu asla g\u00f6zden ka\u00e7\u0131r\u0131lmamal\u0131d\u0131r.” dedi.<\/p>\n