The Revolutionary Role of Artificial Intelligence in Respiratory Medicine
Author:
Affiliation:
1. Dorrington Medical Associates, PA Houston, Texas, USA
2. College of Medicine, The University of Houston, Houston, Texas, USA
Abstract
Publisher
Bentham Science Publishers Ltd.
Subject
Pulmonary and Respiratory Medicine
Reference13 articles.
1. Mekov E.; Miravitlles M.; Petkov R.; Artificial intelligence and machine learning in respiratory medicine. Expert Rev Respir Med 2020,14(6),559-564
2. Angelini E.; Dahan S.; Shah A.; Unravelling machine learning: insights in respiratory medicine. Eur Respir J 2019,54(6),1901216
3. Choi R.Y.; Coyner A.S.; Kalpathy-Cramer J.; Introduction to Machine Learning, Neural Networks, and Deep Learning. Transl Vis Sci Technol 2020,9(2),1-10
4. Khemasuwan D.; Sorensen J.S.; Colt H.G.; Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19. Eur Respir Rev 2020,29(157),200181
5. Topalovic M.; Das N.; Burgel P.R.; Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests. Eur Respir J 2019,53(4),1801660
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