Artificial intelligence (AI) is being used to aid in various aspects of the COVID-19 crisis, including epidemiology, molecular research and drug development, medical diagnosis and treatment, and socioeconomics. The association of AI and COVID-19 can accelerate to rapidly diagnose positive patients. To learn the dynamics of a pandemic with relevance to AI, we search the literature using the different academic databases (PubMed, PubMed Central, Scopus, Google Scholar) and preprint servers (bioRxiv, medRxiv, arXiv). In the present review, we address the clinical applications of machine learning and deep learning, including clinical characteristics, electronic medical records, medical images (CT, X-ray, ultrasound images, etc.) in the COVID-19 diagnosis. The current challenges and future perspectives provided in this review can be used to direct an ideal deployment of AI technology in a pandemic.
【저자키워드】 COVID-19, deep learning, artificial intelligence, machine learning, Diagnosis, 【초록키워드】 Treatment, pandemic, Clinical characteristics, Epidemiology, database, X-ray, Research, COVID-19 diagnosis, molecular, electronic medical records, diagnose, association, Google Scholar, PubMed Central, COVID-19 crisis, Perspective, positive patients, provided, can be used, accelerate, 【제목키워드】 Perspective,