Kanser Biyobelirteçlerinde Yapay Zeka Uygulamaları
Özet
Kanser biyobelirteçlerinin analizinde yapay zeka ve makine öğrenmesi tekniklerinin kullanımını ve bu yöntemlerin erken teşhis, tedavi planlaması ve hasta takibindeki kritik rolünü incelemektedir. Makine öğrenmesi ve derin öğrenme algoritmaları, klinik verilerle biyobelirteç paternlerini entegre ederek tanı performansını artırmakta ve özellikle akciğer, meme ve pankreas kanseri gibi türlerde yüksek doğruluk oranlarına ulaşmaktadır. Sonuç olarak disiplinler arası bir yaklaşımla geliştirilen bu akıllı sistemler, onkoloji alanında daha kesin ve kişiselleştirilmiş tedavi yöntemlerinin önünü açmaktadır.
This article examines the use of artificial intelligence and machine learning techniques in analyzing cancer biomarkers and the critical role of these methods in early diagnosis, treatment planning, and patient follow-up. Machine learning and deep learning algorithms enhance diagnostic performance by integrating clinical data with biomarker patterns, achieving high accuracy rates, particularly in cancer types such as lung, breast, and pancreatic cancer. Consequently, these intelligent systems developed through an interdisciplinary approach pave the way for more precise and personalized treatment methods in oncology.
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