A research review of deep learning in the diagnosis of COVID-19
Aims:This paper aims to summarize the current main challenges and the possible development directions and to provide scientific references for the new coronavirus diagnosis research.Methods:The research progress of artificial intelligence technology in the rapid diagnosis of the novel coronavirus was systematically analyzed,including the artificial intelligence diagnosis techniques based on the computed tomography image,the X-ray image and the polymerase chain reaction data.The characteristics of these work were analyzed in depth.Results:AI algorithms showed great potential in prediction,diagnosis,and image classification,which could help medical institutions alleviate the shortage of medical resources,improve diagnostic efficiency and clinical treatment outcomes.Conclusions:It is necessary to further study the medical methods of artificial intelligence algorithms to assist disease identification and diagnosis and to develop medical artificial intelligence algorithms that can meet the need of clinical disease diagnosis.
国家科技期刊平台
NSTL
万方数据
