| Literature DB >> 32166988 |
Evgeni Mekov1, Marc Miravitlles2, Rosen Petkov1.
Abstract
Introduction: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly relevant topic.Areas covered: We aimed to identify and describe the studies published on the use of AI and ML in the field of respiratory diseases. The string '(((pulmonary) OR respiratory)) AND ((artificial intelligence) OR machine learning)' was used in PubMed as a search strategy. The majority of studies identified corresponded to the area of chronic obstructive pulmonary disease (COPD), in particular to COPD and chest computed tomography scans, interpretation of pulmonary function tests, exacerbations and treatment. Another field of interest is the application of AI and ML to the diagnosis of interstitial lung disease, and a few other studies were identified on the fields of mechanical ventilation, interpretation of images on chest X-ray and diagnosis of bronchial asthma.Expert opinion: ML may help to make clinical decisions but will not replace the physician completely. Human errors in medicine are associated with large financial losses, and many of them could be prevented with the help of AI and ML. AI is particularly useful in the absence of conclusive evidence of decision-making.Entities:
Keywords: Artificial intelligence; COPD; machine learning; pulmonary fibrosis; respiratory diseases
Mesh:
Year: 2020 PMID: 32166988 DOI: 10.1080/17476348.2020.1743181
Source DB: PubMed Journal: Expert Rev Respir Med ISSN: 1747-6348 Impact factor: 3.772