Key points are not available for this paper at this time.
Respiratory diseases (RD) are a major healthcare issue and is predicted to be leading cause of mortality by 2030. Artificial intelligence (AI) has been recently gained interest of scientific fields. Among a variety of application, it has made a marked embrace in medical domain where it is applied for diagnosis and disease progression by clinicians. Further, in particular, AI based Machine learning (ML) and Deep Learning (DL) algorithms have come up as an effective emerging trend in diagnosis of respiratory diseases. These algorithms are trained to classify the respiratory diseases such as pneumonia, fibrosis, cancer, tuberculosis emphysema, asthma based on radiographs, CT scans etc. images. The AI enabled diagnosis can facilitate precise diagnosis and differentiation among overlapping characteristics bearing lung diseases. This review focuses on the AI-based algorithms assisted, improved diagnosis of three respiratory diseases specifically COPD (Chronic obstructive pulmonary disease), asthma and lung fibrosis. Further, AI is expected to play a crucial role in facilitating diagnosis aiding clinicians in predicting and management of lung diseases taking it towards a promising tool for everyday clinical practice soon. It is written with a hope that this brief review of emphasizing utilization of AI in medical field will be helpful to clinicians.
Yadav et al. (Thu,) studied this question.