Artificial Intelligence in Management of Respiratory Disease

Year 2024, Volume: 3 Issue: 2, 69 - 75, 31.08.2024

Erhan Kızmaz

https://doi.org/10.5281/zenodo.13621377

Abstract

This study aims to summarize the role of artificial intelligence in the management of respiratory diseases in the light of the literature. Artificial intelligence is a developing technology that achieves fast and effective results using machine learning, deep learning and data analysis methods. It is useful to use in situations that require high dedication and complex and fast decision-making mechanisms. Respiratory diseases, which are increasing worldwide and have a high risk of mortality and morbidity, pose a great burden to both the healthcare system and healthcare professionals. The literature supports the use of artificial intelligence in the management of respiratory diseases in order to reduce this burden, make critical decisions, and benefit patients and healthcare professionals. Complicated imaging methods, monitoring symptoms, and predicting possible situations and side effects are the aspects where artificial intelligence will influence this field.

Keywords

Artificial intelligence, Respiratory disease, Machine learning, Deep learning

Solunum Sistemi Hastalıklarıyla Mücadelede Yapay Zeka

Abstract

Bu çalışma, solunum yolu hastalıklarının yönetiminde yapay zekanın rolünü literatür ışığında özetlemeyi amaçlamaktadır. Yapay zeka, makine öğrenmesi, derin öğrenme ve veri analizi yöntemlerini kullanarak hızlı ve etkili sonuçlar elde eden, gelişen bir teknolojidir. Yüksek özveri gerektiren, karmaşık ve hızlı karar alma mekanizmaları gerektiren durumlarda kullanılması faydalıdır. Dünya çapında giderek artan, mortalite ve morbidite riski yüksek olan solunum yolu hastalıkları hem sağlık sistemi hem de sağlık çalışanları için büyük bir yük oluşturmaktadır. Literatür, solunum yolu hastalıklarının yönetiminde bu yükün azaltılması, kritik kararların alınması, hastalara ve sağlık profesyonellerine fayda sağlanması amacıyla yapay zekanın kullanımını desteklemektedir. Karmaşık görüntüleme yöntemleri, semptomların izlenmesi, olası durumların ve yan etkilerin tahmin edilmesi yapay zekanın bu alanı etkileyeceği yönlerdir.

Keywords

Yapay zeka, Solunum sistemi hastalıkları, Makine öğrenme, Derin öğrenme

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