Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Journal: Current opinion in pulmonary medicine

PMID: 29251699

Abstract

PURPOSE OF REVIEW: The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be used to predict clinical outcomes or to detect obstructive phenotypes. The purpose of this review is to describe the latest trends and to discuss the future potential of artificial intelligence in the diagnosis of obstructive lung diseases.

Authors

Nilakash Das

Laboratory of Respiratory Diseases, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Belgium.
Marko Topalovic
Wim Janssens

Keywords

Algorithms Artificial Intelligence Breath Tests Diagnosis, Computer-Assisted Humans Lung Diseases, Obstructive Machine Learning Neural Networks, Computer Pattern Recognition, Automated Respiratory Function Tests Respiratory Sounds Tomography, X-Ray Computed

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View on PubMed Access via DOI PubMed (29251699)

Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Abstract

Authors

Keywords

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