@article{article_1515669, title={Artificial Intelligence in Management of Respiratory Disease}, journal={Sağlık Bilimleri ve Klinik Araştırmaları Dergisi}, volume={3}, pages={69–75}, year={2024}, DOI={10.5281/zenodo.13621377}, author={Kızmaz, Erhan}, keywords={Yapay zeka, Solunum sistemi hastalıkları, Makine öğrenme, Derin öğrenme}, 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.}, number={2}, publisher={Gaziantep Üniversitesi}