Application of artificial intelligence in COVID-19 medical area: a systematic review

Journal of Thoracic Disease

article

Zhoulin Chang¹  Zhiqing Zhan²  Zifan Zhao³  Zhixuan You³  Yang Liu⁴  Zhihong Yan⁵  Yong Fu⁵  Wenhua Liang⁶  Lei Zhao⁷ 

[1] College of Mechanical and Electrical Engineering, Guangdong University of Science and Technology;The Third Clinical College, Guangzhou Medical University;Nanshan College, Guangzhou Medical University;School of Information Engineering, Zhengzhou University;Kuangji Medical Technology, Guangdong Hengqin Co., Ltd.;Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University;Department of Physiology, School of Basic Medical Sciences, Guangzhou Medical University

关键词: Artificial intelligence (AI);    coronavirus disease 2019 (COVID-19);    severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2);    deep learning;    machine learning;   

DOI  :  10.21037/jtd-21-747

学科分类：呼吸医学

来源: Pioneer Bioscience Publishing Company

【 摘 要 】

Background: Coronavirus disease 2019 (COVID-19) has caused a large-scale global epidemic, impacting international politics and the economy. At present, there is no particularly effective medicine and treatment plan. Therefore, it is urgent and significant to find new technologies to diagnose early, isolate early, and treat early. Multimodal data drove artificial intelligence (AI) can potentially be the option. During the COVID-19 Pandemic, AI provided cutting-edge applications in disease, medicine, treatment, and target recognition. This paper reviewed the literature on the intersection of AI and medicine to analyze and compare different AI model applications in the COVID-19 Pandemic, evaluate their effectiveness, show their advantages and differences, and introduce the main models and their characteristics. Methods: We searched PubMed, arXiv, medRxiv, and Google Scholar through February 2020 to identify studies on AI applications in the medical areas for the COVID-19 Pandemic. Results: We summarize the main AI applications in six areas: (I) epidemiology, (II) diagnosis, (III) progression, (IV) treatment, (V) psychological health impact, and (VI) data security. The ongoing development in AI has significantly improved prediction, contact tracing, screening, diagnosis, treatment, medication, and vaccine development for the COVID-19 Pandemic and reducing human intervention in medical practice. Discussion: This paper provides strong advice for using AI-based auxiliary tools for related applications of human diseases. We also discuss the clinicians’ role in the further development of AI. They and AI researchers can integrate AI technology with current clinical processes and information systems into applications. In the future, AI personnel and medical workers will further cooperate closely.

【 授权许可】

Unknown