Application of artificial intelligence in respiratory medicine

Abstract

In recent years, thanks to the dawn of big data, the substantial improvement in computing power, and breakthroughs in algorithm research, artificial intelligence has developed rapidly, and remarkable progress has also been made in its application in medicine. In the field of respiratory medicine, the auxiliary diagnosis of lung cancer is currently the topic on which medical artificial intelligence is the most studied. Therefore, this paper mainly focuses on the diagnosis procedure of lung cancer, and comprehensively summarizes the application of artificial intelligence in the segmentation and detection of pulmonary nodules, classification of benign/malignant pulmonary nodules and intrathoracic lymph nodes, classification of lung cancer pathological images, and lung cancer prognosis analysis. In addition, the application of artificial intelligence in other respiratory diseases such as COVID-19, pneumothorax and pleural effusion is briefly introduced. In summary, artificial intelligence is widely used in the auxiliary diagnosis of respiratory diseases, and has a great potential to become a valuable assistant to respiratory physicians in the near future.