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Acil serviste yapay zeka kullanımı

Authors: ERTÜRK, Zamir Kemal; ERTÜRK, Bahadır;

Acil serviste yapay zeka kullanımı

Abstract

Artificial intelligence is software that enables the fulfillment of tasks that require high mental processes by processing a large number of data through a computer. Alan Turing laid the foundations for modern computers and artificial intelligence in the mid-20th century. Artificial intelligence algorithms have been developing by programmers since the 80s and 90s. However, societies have started to use them actively since the 2000s. Using of artificial intelligence applications and deep learning algorithms in the medical field, especially in emergency departments, is increasing rapidly. Artificial intelligence has the potential to be used in many fields, from triage to interpreting the examinations and guiding the physician in the diagnosis and treatment process. Advances in artificial intelligence algorithms are promising in the field of medicine.

Yapay zeka, bir bilgisayarın veya bilgisayar kontrollü bir makinenin akıl yürütme, anlamlandırma, genelleme ve deneyimlerden öğrenme gibi daha yüksek zihinsel süreçlerle ilgili görevleri yerine getirme yeteneğidir. 80’ler ve 90’larda yapay zeka üzerine bir çok çalışma yapıldı ancak toplumların aktif olarak kullanımı 2000’li yıllarda olabildi. Yapay zeka uygulamalarının ve derin öğrenme algoritmalarının tıp alanında özellikle acil servislerde kullanımı hızla artış göstermektedir. Bu yazıda yapay zekanın acil servislerde potansiyel kullanım alanları tartışıldı.

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Turkey
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Keywords

Klinik Tıp Bilimleri, acil servis;yapay zeka;makine öğrenmesi, Yapay Zeka, Clinical Sciences, Makine Öğrenmesi, Acil Servis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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