Acil Serviste Yapay Zeka Uygulamaları

Öz

Yapay zeka ile yapılan araştırmalar son günlerde önem kazanmıştır. Bunun nedenlerinin başında modern makine öğrenimi tekniklerinden; derin öğrenme, büyük veri kümelerinin kullanılabilirliği ve bilgi işlem gücündeki gelişmelerin başarısı sayesinde olmuştur. Sağlık hizmetlerinde yapay zekanın uygulanabilirliği gösterilmiştir. Algoritmalar doktor performanslarıyla eş değer olabilmektedir ve hatta onları aşabilmektedir. Yapay zeka tabanlı araçlar risk sınıflandırması, tanı ve tedavi seçimi dahil olmak üzere tıpta çeşitli faktörleri tahmin etmek için kullanılmıştır. Yapay zeka teknolojileri önümüzdeki yıllarda acil tıp alanında giderek daha fazla kullanılacaktır. Bu derlemenin amacı acil tıp ile ilgili olan mevcut yapay zeka araştırmalarına genel bakış sağlamaktır.

Anahtar Kelimeler

• Yapay zekâ
• Derin öğrenme
• Acil tıp
• Makine öğrenmesi

Artificial Intelligence Applications in Emergency Service

Abstract

Research with artificial intelligence has gained importance in recent years. The main reasons for this increase are modern machine learning techniques; deep learning, the availability of large datasets, and advances in computing power and increasing success in these areas. The applicability of artificial intelligence in healthcare has been demonstrated. Algorithms can equate to or even exceed physician performances. Al- based tools have been used to predict various factors in medicine, including risk stratification, diagnosis, and treatment selection. Artificial intelligence technologies will be used more and more in the field of emergency medicine in the coming years. The purpose of this review is to provide an overview of current artificial intelligence research related to emergency medicine.

Keywords

• Artificial intelligence
• Deep learning
• Emergency medicine
• Machine learning

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