Maoxin Liao
ABSTRACT
More than 60,000 deaths have occurred since the COVID-19 outbreak in 2019. A very significant and far-reaching worldwide public health event. With the passage of time, all countries in the world are committed to controlling the development of the epidemic from all aspects to ensure the safety of people's lives and property and maintain social stability. Among many measures, the application of AI plays a very important role. This article reviews and analyzes the application of AI in diagnosing diseases, treating diseases, predicting epidemic outbreaks, drug research and development, telemedicine and other aspects during the epidemic, and discusses the advantages and disadvantages of AI in the process of its role in these fields. We believe that AI is in a period of booming development, we should efficiently use its advantages and actively prevent its possible drawbacks, and timely improve the problems that have been exposed.
- HTTPS://CORONAVIRUS.JHU.EDU/MAP.HTML.Google Scholar
- HTTPS://WWW.WHO.INT/NEWS/ITEM/30-01-2020-STATEMENT-ON-THE-SECOND-MEETING-OF-THE-INTERNATIONAL-HEALTH-REGULATIONS-(2005)-EMERGENCY-COMMITTEE-REGARDING-THE-OUTBREAK-OF-NOVEL-CORONAVIRUS-(2019-NCOV).Google Scholar
- BOEHM E, KRONIG I, NEHER R A, Novel SARS-CoV-2 variants: the pandemics within the pandemic [J]. Clin Microbiol Infect, 2021, 27(8): 1109-17.Google ScholarCross Ref
- MCMAHAN K, GIFFIN V, TOSTANOSKI L H, Reduced pathogenicity of the SARS-CoV-2 omicron variant in hamsters [J]. Med (N Y), 2022, 3(4): 262-8.e4.Google Scholar
- CHEN J, WANG R, GILBY N B, Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance [J]. J Chem Inf Model, 2022, 62(2): 412-22.Google ScholarCross Ref
- HELMSDAL G, HANSEN O K, MØLLER L F, Omicron outbreak at a private gathering in the Faroe Islands, infecting 21 of 33 triple-vaccinated healthcare workers [J]. Clin Infect Dis, 2022.Google Scholar
- MINTZ Y, BRODIE R. Introduction to artificial intelligence in medicine [J]. Minim Invasive Ther Allied Technol, 2019, 28(2): 73-81.Google ScholarCross Ref
- DESMARAIS F, BERGERON K F, LACAILLE M, High ApoD protein level in the round ligament fat depot of severely obese women is associated with an improved inflammatory profile [J]. Endocrine, 2018, 61(2): 248-57.Google ScholarCross Ref
- QIN L, SUN Q, WANG Y, Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index [J]. Int J Environ Res Public Health, 2020, 17(7).Google Scholar
- YANG Z, ZENG Z, WANG K, Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions [J]. J Thorac Dis, 2020, 12(3): 165-74.Google ScholarCross Ref
- OLSEN F, SCHILLACI C, IBRAHIM M, Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran's I loss function [J]. Results Phys, 2022, 35: 105374.Google ScholarCross Ref
- RIBEIRO M, DA SILVA R G, MARIANI V C, Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil [J]. Chaos Solitons Fractals, 2020, 135: 109853.Google ScholarCross Ref
- LI X, LIU B, ZHENG G, Deep-learning-based information mining from ocean remote-sensing imagery [J]. Natl Sci Rev, 2020, 7(10): 1584-605.Google ScholarCross Ref
- VASIREDDY D, VANAPARTHY R, MOHAN G, Review of COVID-19 Variants and COVID-19 Vaccine Efficacy: What the Clinician Should Know? [J]. J Clin Med Res, 2021, 13(6): 317-25.Google Scholar
- MEI X, LEE H C, DIAO K Y, Artificial intelligence-enabled rapid diagnosis of patients with COVID-19 [J]. Nat Med, 2020, 26(8): 1224-8.Google ScholarCross Ref
- ARDAKANI A A, KANAFI A R, ACHARYA U R, Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks [J]. Comput Biol Med, 2020, 121: 103795.Google ScholarCross Ref
- KHAN A I, SHAH J L, BHAT M M. CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images [J]. Comput Methods Programs Biomed, 2020, 196: 105581.Google ScholarCross Ref
- ALSHARIF W, QURASHI A. Effectiveness of COVID-19 diagnosis and management tools: A review [J]. Radiography (Lond), 2021, 27(2): 682-7.Google ScholarCross Ref
- TALEGHANI N, TAGHIPOUR F. Diagnosis of COVID-19 for controlling the pandemic: A review of the state-of-the-art [J]. Biosens Bioelectron, 2021, 174: 112830.Google ScholarCross Ref
- OZSAHIN I, SEKEROGLU B, MUSA M S, Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence [J]. Comput Math Methods Med, 2020, 2020: 9756518.Google Scholar
- SREEPADMANABH M, SAHU A K, CHANDE A. COVID-19: Advances in diagnostic tools, treatment strategies, and vaccine development [J]. J Biosci, 2020, 45(1).Google Scholar
- GAVRIATOPOULOU M, NTANASIS-STATHOPOULOS I, KOROMPOKI E, Emerging treatment strategies for COVID-19 infection [J]. Clin Exp Med, 2021, 21(2): 167-79.Google ScholarCross Ref
- LIANG W, YAO J, CHEN A, Early triage of critically ill COVID-19 patients using deep learning [J]. Nat Commun, 2020, 11(1): 3543.Google ScholarCross Ref
- LI C, DONG D, LI L, Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics [J]. IEEE J Biomed Health Inform, 2020, 24(12): 3585-94.Google ScholarCross Ref
- JIAO Z, CHOI J W, HALSEY K, Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study [J]. Lancet Digit Health, 2021, 3(5): e286-e94.Google ScholarCross Ref
- DONG J, WU H, ZHOU D, Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China [J]. J Med Syst, 2021, 45(9): 84.Google ScholarDigital Library
- YU L, SHI X, LIU X, Artificial Intelligence Systems for Diagnosis and Clinical Classification of COVID-19 [J]. Front Microbiol, 2021, 12: 729455.Google ScholarCross Ref
- HASSAN H, REN Z, ZHOU C, Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review [J]. Comput Methods Programs Biomed, 2022, 218: 106731.Google ScholarDigital Library
- AHUJA A S, REDDY V P, MARQUES O. Artificial intelligence and COVID-19: A multidisciplinary approach [J]. Integr Med Res, 2020, 9(3): 100434.Google ScholarCross Ref
- ABUBAKER BAGABIR S, IBRAHIM N K, ABUBAKER BAGABIR H, Covid-19 and Artificial Intelligence: Genome sequencing, drug development and vaccine discovery [J]. J Infect Public Health, 2022, 15(2): 289-96.Google ScholarCross Ref
- HU F, WANG L, HU Y, A novel framework integrating AI model and enzymological experiments promotes identification of SARS-CoV-2 3CL protease inhibitors and activity-based probe [J]. Brief Bioinform, 2021, 22(6).Google Scholar
- ZHOU D, PENG S, WEI D Q, LUNAR :Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network [J]. IEEE/ACM Trans Comput Biol Bioinform, 2021, 18(4): 1290-8.Google ScholarDigital Library
- KARKI N, VERMA N, TROZZI F, Predicting Potential SARS-COV-2 Drugs-In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking [J]. Int J Mol Sci, 2021, 22(4).Google Scholar
- FISCON G, PACI P. SAveRUNNER: an R-based tool for drug repurposing [J]. BMC Bioinformatics, 2021, 22(1): 150.Google ScholarCross Ref
- GALLO K, GOEDE A, ECKERT A, PROMISCUOUS 2.0: a resource for drug-repositioning [J]. Nucleic Acids Res, 2021, 49(D1): D1373-d80.Google Scholar
- MONTERRUBIO-LÓPEZ G P, DELGADILLO-GUTIÉRREZ K. [Reverse vaccinology: strategy against emerging pathogens] [J]. Rev Med Inst Mex Seguro Soc, 2021, 59(3): 233-41.Google Scholar
- TAHIR UL QAMAR M, SHAHID F, ASLAM S, Reverse vaccinology assisted designing of multiepitope-based subunit vaccine against SARS-CoV-2 [J]. Infect Dis Poverty, 2020, 9(1): 132.Google ScholarCross Ref
- SAFAVI A, KEFAYAT A, MAHDEVAR E, Exploring the out of sight antigens of SARS-CoV-2 to design a candidate multi-epitope vaccine by utilizing immunoinformatics approaches [J]. Vaccine, 2020, 38(48): 7612-28.Google ScholarCross Ref
- PRACHAR M, JUSTESEN S, STEEN-JENSEN D B, Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools [J]. Sci Rep, 2020, 10(1): 20465.Google ScholarCross Ref
- WAHEZI S E, KOHAN L R, SPEKTOR B, Telemedicine and current clinical practice trends in the COVID-19 pandemic [J]. Best Pract Res Clin Anaesthesiol, 2021, 35(3): 307-19.Google ScholarCross Ref
- BRUNET F, MALAS K, DESROSIERS M E. Will telemedicine survive after COVID-19? [J]. Healthc Manage Forum, 2021, 34(5): 256-9.Google ScholarCross Ref
- WAN S, CHEN Y, XIAO Y, Spatial analysis and evaluation of medical resource allocation in China based on geographic big data [J]. BMC Health Serv Res, 2021, 21(1): 1084.Google ScholarCross Ref
- YAN A, ZOU Y, MIRCHANDANI D A. How hospitals in mainland China responded to the outbreak of COVID-19 using information technology-enabled services: An analysis of hospital news webpages [J]. J Am Med Inform Assoc, 2020, 27(7): 991-9.Google ScholarCross Ref
- HONG Z, LI N, LI D, Telemedicine During the COVID-19 Pandemic: Experiences From Western China [J]. J Med Internet Res, 2020, 22(5): e19577.Google ScholarCross Ref
- SONG X, LIU X, WANG C. The role of telemedicine during the COVID-19 epidemic in China-experience from Shandong province [J]. Crit Care, 2020, 24(1): 178.Google ScholarCross Ref
- ALIYU A A. Public health ethics and the COVID-19 pandemic [J]. Ann Afr Med, 2021, 20(3): 157-63.Google Scholar
- SRINIVASA RAO A S R, VAZQUEZ J A. Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine [J]. Infect Control Hosp Epidemiol, 2020, 41(7): 826-30.Google ScholarCross Ref
- PAYNE C J, YANG G Z. Hand-held medical robots [J]. Ann Biomed Eng, 2014, 42(8): 1594-605.Google ScholarCross Ref
- SAKAMOTO T, FURUKAWA T, LAMI K, A narrative review of digital pathology and artificial intelligence: focusing on lung cancer [J]. Transl Lung Cancer Res, 2020, 9(5): 2255-76.Google ScholarCross Ref
- CRANE S J, GANESH R, POST J A, Telemedicine Consultations and Follow-up of Patients With COVID-19 [J]. Mayo Clin Proc, 2020, 95(9s): S33-s4.Google ScholarCross Ref
- WEBSTER P. Virtual health care in the era of COVID-19 [J]. Lancet, 2020, 395(10231): 1180-1.Google ScholarCross Ref
- GOGGOLIDOU P, HODGES-MAMELETZIS I, PUREWAL S, Self-Testing as an Invaluable Tool in Fighting the COVID-19 Pandemic [J]. J Prim Care Community Health, 2021, 12: 21501327211047782.Google ScholarCross Ref
- BOKOLO ANTHONY J. Use of Telemedicine and Virtual Care for Remote Treatment in Response to COVID-19 Pandemic [J]. J Med Syst, 2020, 44(7): 132.Google ScholarCross Ref
- ABAD-VALLE P, FERNÁNDEZ-ABEDUL M T, COSTA-GARCÍA A. Genosensor on gold films with enzymatic electrochemical detection of a SARS virus sequence [J]. Biosens Bioelectron, 2005, 20(11): 2251-60.Google ScholarCross Ref
- MIRIPOUR Z S, SARRAMI-FOROOSHANI R, SANATI H, Real-time diagnosis of reactive oxygen species (ROS) in fresh sputum by electrochemical tracing; correlation between COVID-19 and viral-induced ROS in lung/respiratory epithelium during this pandemic [J]. Biosens Bioelectron, 2020, 165: 112435.Google ScholarCross Ref
- YANG J C, MUN J, KWON S Y, Electronic Skin: Recent Progress and Future Prospects for Skin-Attachable Devices for Health Monitoring, Robotics, and Prosthetics [J]. Adv Mater, 2019, 31(48): e1904765.Google ScholarCross Ref
- LI K H C, WHITE F A, TIPOE T, The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review [J]. JMIR Mhealth Uhealth, 2019, 7(2): e11606.Google Scholar
- ZHANG Z, ZHANG J, ZHANG H, A Portable Triboelectric Nanogenerator for Real-Time Respiration Monitoring [J]. Nanoscale Res Lett, 2019, 14(1): 354.Google ScholarCross Ref
- JONES D E, ALIMI T O, PORDELL P, Pursuing Data Modernization in Cancer Surveillance by Developing a Cloud-Based Computing Platform: Real-Time Cancer Case Collection [J]. JCO Clin Cancer Inform, 2021, 5: 24-9.Google Scholar
- SHER L. The impact of the COVID-19 pandemic on suicide rates [J]. Qjm, 2020, 113(10): 707-12.Google ScholarCross Ref
- SHI L, LU Z A, QUE J Y, Prevalence of and Risk Factors Associated With Mental Health Symptoms Among the General Population in China During the Coronavirus Disease 2019 Pandemic [J]. JAMA Netw Open, 2020, 3(7): e2014053.Google Scholar
- TASNIM S, HOSSAIN M M, MAZUMDER H. Impact of Rumors and Misinformation on COVID-19 in Social Media [J]. J Prev Med Public Health, 2020, 53(3): 171-4.Google ScholarCross Ref
- CHOI J, KO T, CHOI Y, Dynamic graph convolutional networks with attention mechanism for rumor detection on social media [J]. PLoS One, 2021, 16(8): e0256039.Google ScholarCross Ref
- LIU Y, XU S, TOURASSI G. Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment [J]. Soc Comput Behav Cult Model Predict (2015), 2015, 9021: 121-30.Google Scholar
- LI C, PENG H, LI J, Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph [J]. IEEE Trans Neural Netw Learn Syst, 2021, PP.Google Scholar
- WU Z, PI D, CHEN J, Rumor detection based on propagation graph neural network with attention mechanism [J]. Expert Syst Appl, 2020, 158: 113595.Google ScholarCross Ref
- CEN J, LI Y. A Rumor Detection Method from Social Network Based on Deep Learning in Big Data Environment [J]. Comput Intell Neurosci, 2022, 2022: 1354233.Google Scholar
- RANI P, JAIN V, SHOKEEN J, Blockchain-based rumor detection approach for COVID-19 [J]. J Ambient Intell Humaniz Comput, 2022: 1-15.Google Scholar
- WILLIAMS J V. 3D anatomy online [J]. Br Dent J, 2006, 200(8): 419.Google Scholar
- ZHU W, FAN X, ZHANG Y. Applications and research trends of digital human models in the manufacturing industry [J]. Virtual Reality & Intelligent Hardware, 2019, 1(6): 558-79.Google ScholarCross Ref
- SALEHINEJAD S, JANGIPOUR AFSHAR P, BORHANINEJAD V. Rumor surveillance methods in outbreaks: A systematic literature review [J]. Health Promot Perspect, 2021, 11(1): 12-9.Google ScholarCross Ref
Index Terms
- Applications of Artificial Intelligence and Big Data for Covid-19 Pandemic: A Review
Recommendations
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak. Most governments, enterprises, and scientific research institutions are participating in the COVID-19 struggle to curb the spread of the ...
Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China
AbstractCOVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spread rapidly and affected most of the world since its outbreak in Wuhan, China, which presents a major challenge to the emergency response mechanism for sudden ...
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
AbstractThe outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st century, probably the most significant global crisis after the second world war. The rapid spreading capability of the virus has compelled the ...
Comments