Abstract

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Title:: Artificial intelligence technologies in lung imaging assisted diagnosis: a review

Author(s):: TANG Zhixian1; WANG Yimiao1; ZHOU Liangyi1; LU Xinyi1; LIANG Kaiyi2; 1. College of Medical Imaging, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China 2. Department of Radiology, Jiading District Central Hospital Affiliated to Shanghai University of Medicine & Health Sciences, Shanghai 201800, China

Keywords:: Keywords: artificial intelligence lung disease multi-disease joint diagnosis chest radiograph computed tomography

Abstract:: Abstract: Due to various factors such as complicated lung imaging and rapidly growing amount of data, the task for imaging technicians is arduous. The emergence of artificial intelligence assisted diagnosis technology comes just in time. The current intelligent diagnosis algorithms can realize multiple applications such as detection, segmentation and nature diagnosis of lung lesions, which not only effectively improves the efficiency of doctor diagnosis, but also is expected to promote hierarchical treatment and optimize the allocation of medical resources. Artificial intelligence based lung imaging diagnosis technology has gradually developed from single specific disease diagnosis to multi-disease joint diagnosis. Herein the development background of artificial intelligence assisted diagnosis technology is reviewed, and the research status of pulmonary disease diagnosis based on artificial intelligence is analyzed, and finally the advantages and disadvantages of relevant algorithms are summarized and the future development direction is discussed.