TIPTA YAPAY ZEKA UYGULAMALARI

Year 2022, Volume: 24 Issue: 3, 604 - 613, 31.12.2022

Hatice Keleş

https://doi.org/10.24938/kutfd.1214512

Cited By: 5

Abstract

Yapay Zeka (YZ), bir makine yardımıyla muhakeme, öğrenme, sınıflandırma ve yaratıcılık gibi insani beceriler sergileyen bir dizi algoritmalar bütünüdür. Bu YZ algoritmaları, derin öğrenme ve makine öğrenimi yoluyla insan zekasını taklit etmeye çalışır. Sağlık sektöründeki verilerin artışı ve ulaşılabilirliği, son zamanlardaki başarılı YZ uygulamalarını mümkün kılmıştır. YZ teknolojisi, karmaşık ve büyük verilerin altında saklanan klinik bilgileri su üstüne çıkararak, doktorların yargı ve karar mekanizmalarında büyük fayda sağlayabilir. Geniş klinik kullanımı henüz sınırlı olsa da araştırmalar, YZ'nın hastalıkların teşhisi, tedavisi, izlenmesi, sınıflandırılması ve risk taşıyan durumların ayırt edilmesinde başarıyla kullanılabileceğini göstermektedir. YZ'nın gelecekte doktorların yerini alabileceği düşünülmese de insan yargısının yerini alacağı öngörülmektedir. Bu derlemede, yapay zeka teknolojisinin genel hatları, sağlık hizmetlerinde uygulama alanları, geleceği ve muhtemel etik sorunlar gözden geçirilmektedir.

Keywords

Yapay zeka teknolojisi, tıpta yapay zeka, makine öğrenimi, derin öğrenme

Supporting Institution

yok

Project Number

yok

Thanks

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Artificial Intelligence Applications in Medicine

Abstract

Artificial Intelligence (AI) is a set of algorithms that exhibit human skills such as reasoning, learning, classification and creativity with the help of a machine. These AI algorithms attempt to simulate human intelligence through deep learning and machine learning. The increase and accessibility of data in the health sector has made recent successful AI applications possible. AI technology can bring great benefits to doctors' judgment and decision-making by bringing to the surface clinical information hidden under complex and big data. Although its wide clinical use is still limited, researches show that AI can be used successfully in the diagnosis, treatment, monitoring, classification of diseases, and differentiation of risky conditions. While it is not thought that AI can replace doctors in the future, it is envisioned to replace human judgment. In this review, the general outlines of artificial intelligence technology, its applications in health care, its future and possible ethical problems are overviewed.

Keywords

Artificial intelligence technology, artificial intelligence in medicine, machine learning, deep learning

Project Number

yok

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