The human digital twin(HDT)emerges as a promising human-centric technology in Industry 5.0,but challenges remain in human modeling and simulation.Digital human modeling(DHM)provides solutions for modeling and simulati...The human digital twin(HDT)emerges as a promising human-centric technology in Industry 5.0,but challenges remain in human modeling and simulation.Digital human modeling(DHM)provides solutions for modeling and simulating human physical and cognitive aspects to support ergonomic analysis.However,it has limitations in real-time data usage,personalized services,and timely interaction.The emerging HDT concept offers new possibilities by integrating multi-source data and artificial intelligence for continuous monitoring and assessment.Hence,this paper reviews the evolution from DHM to HDT and proposes a unified HDT framework from a human factors perspective.The framework comprises the physical twin,the virtual twin,and the linkage between these two.The virtual twin integrates human modeling and AI engines to enable model-data-hybrid-enabled simulation.HDT can potentially upgrade traditional ergonomic methods to intelligent services through real-time analysis,timely feedback,and bidirectional interactions.Finally,the future perspectives of HDT for industrial applications as well as technical and social challenges are discussed.In general,this study outlines a human factors perspective on HDT for the first time,which is useful for cross-disciplinary research and human factors innovation to enhance the development of HDT in industry.展开更多
Background and Aims:Hepatitis delta virus(HDV)is a defective virus and causes severe liver disease.Several HDV RNA assays have been developed,however the diagnostic efficacy remains unclear.This systematic review and ...Background and Aims:Hepatitis delta virus(HDV)is a defective virus and causes severe liver disease.Several HDV RNA assays have been developed,however the diagnostic efficacy remains unclear.This systematic review and metaanalysis aims to evaluate the diagnostic accuracy of HDV RNA assays to aid in the diagnosis of active hepatitis D.Methods:The PubMed,Embase,and Cochrane Library databases were systematically searched from the beginning to June 31,2022.Information on the characteristics of the literature and data on sensitivity,specificity,and area under curve(AUC)of the receiver operating characteristic(ROC)were extracted.Stata 14.0 was used for meta-analysis of the combined sensitivity,specificity,positive likelihood ratio,and negative likelihood ratio.Results:A total of 10 studies were included in the meta-analysis.The summary sensitivity,specificity,positive likelihood ratio,negative likelihood ratio,and diagnostic odds ratio of HDV RNA assays for HDV diagnosis were 0.92(95%CI:0.87-0.95),0.90(95%CI:0.86-0.93),7.74(95%CI:5.31-11.29),0.10(95%CI:0.06-0.18)and 99.90(95%CI:47.08-211.99),respectively.The AUC of the pooled ROC curve was 0.95(95%CI:0.92-0.96).Conclusions:The results show that HDV RNA assays had high diagnostic performance.However,that is limited by the number and quality of studies.Standard protocols for the development of assays by manufacturers and larger studies on the use of the assays are needed.展开更多
The concept of enhanced recovery after surgery(ERAS)is developed according to the evidence-based medicine.ERAS reduces the physiological and psychological stress in surgical patients.It aims at expediting postoperativ...The concept of enhanced recovery after surgery(ERAS)is developed according to the evidence-based medicine.ERAS reduces the physiological and psychological stress in surgical patients.It aims at expediting postoperative recovery by implementing specific strategies in perioperative management.It optimizes the perioperative care through the multidisciplinary collaboration of surgeons,anesthesiologists,nurses and nutritionists;reduces the perioperative stress response and postoperative complications;shortens the hospital stay,and promotes the patient rehabilitation(1).展开更多
基金Supported by National Natural Science Foundation of China(Grant No.72071179)ZJU-Sunon Joint Research Center of Smart Furniture,Zhejiang University,China.
文摘The human digital twin(HDT)emerges as a promising human-centric technology in Industry 5.0,but challenges remain in human modeling and simulation.Digital human modeling(DHM)provides solutions for modeling and simulating human physical and cognitive aspects to support ergonomic analysis.However,it has limitations in real-time data usage,personalized services,and timely interaction.The emerging HDT concept offers new possibilities by integrating multi-source data and artificial intelligence for continuous monitoring and assessment.Hence,this paper reviews the evolution from DHM to HDT and proposes a unified HDT framework from a human factors perspective.The framework comprises the physical twin,the virtual twin,and the linkage between these two.The virtual twin integrates human modeling and AI engines to enable model-data-hybrid-enabled simulation.HDT can potentially upgrade traditional ergonomic methods to intelligent services through real-time analysis,timely feedback,and bidirectional interactions.Finally,the future perspectives of HDT for industrial applications as well as technical and social challenges are discussed.In general,this study outlines a human factors perspective on HDT for the first time,which is useful for cross-disciplinary research and human factors innovation to enhance the development of HDT in industry.
基金supported by National Natural Science Foundation of China(grant numbers 81770611,82002243,82100653)Key Projects of the Beijing Municipal Education Commission’s Science and Technology Plan(grant number KZ202010025035)+4 种基金Special Key Research Project of Capital Health Development Scientific Research(grant numbers SF2020-1-1151,SF2021-1G-2181,SF2022-1-2182)Demonstrating Application and Research of Clinical Diagnosis and Treatment Technology in Beijing(grant numbers Z191100006619096,Z191100006619097)Beijing Talents Foundation(grant number 2018000021469G289)Beijing Hospitals Authority Youth Program(grant number QML20201702)Talent Cultivation Plan of“Climbing the Peak”of Beijing Municipal Hospital Administration(grant number DFL20221503).
文摘Background and Aims:Hepatitis delta virus(HDV)is a defective virus and causes severe liver disease.Several HDV RNA assays have been developed,however the diagnostic efficacy remains unclear.This systematic review and metaanalysis aims to evaluate the diagnostic accuracy of HDV RNA assays to aid in the diagnosis of active hepatitis D.Methods:The PubMed,Embase,and Cochrane Library databases were systematically searched from the beginning to June 31,2022.Information on the characteristics of the literature and data on sensitivity,specificity,and area under curve(AUC)of the receiver operating characteristic(ROC)were extracted.Stata 14.0 was used for meta-analysis of the combined sensitivity,specificity,positive likelihood ratio,and negative likelihood ratio.Results:A total of 10 studies were included in the meta-analysis.The summary sensitivity,specificity,positive likelihood ratio,negative likelihood ratio,and diagnostic odds ratio of HDV RNA assays for HDV diagnosis were 0.92(95%CI:0.87-0.95),0.90(95%CI:0.86-0.93),7.74(95%CI:5.31-11.29),0.10(95%CI:0.06-0.18)and 99.90(95%CI:47.08-211.99),respectively.The AUC of the pooled ROC curve was 0.95(95%CI:0.92-0.96).Conclusions:The results show that HDV RNA assays had high diagnostic performance.However,that is limited by the number and quality of studies.Standard protocols for the development of assays by manufacturers and larger studies on the use of the assays are needed.
基金This study was supported by a grant from the Project of Health and Family Planning Commission of Zhejiang province(NO.2018ZD004).
文摘The concept of enhanced recovery after surgery(ERAS)is developed according to the evidence-based medicine.ERAS reduces the physiological and psychological stress in surgical patients.It aims at expediting postoperative recovery by implementing specific strategies in perioperative management.It optimizes the perioperative care through the multidisciplinary collaboration of surgeons,anesthesiologists,nurses and nutritionists;reduces the perioperative stress response and postoperative complications;shortens the hospital stay,and promotes the patient rehabilitation(1).
