In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and recovery.The exploitation of machine learning with an intelligent agent in the area of health infor...In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and recovery.The exploitation of machine learning with an intelligent agent in the area of health informatics gathered using HAR augments the decision-making quality and significance.Although many research works conducted on Smart Healthcare Monitoring,there remain a certain number of pitfalls such as time,overhead,and falsification involved during analysis.Therefore,this paper proposes a Statistical Partial Regression and Support Vector Intelligent Agent Learning(SPR-SVIAL)for Smart Healthcare Monitoring.At first,the Statistical Partial Regression Feature Extraction model is used for data preprocessing along with the dimensionality-reduced features extraction process.Here,the input dataset the continuous beat-to-beat heart data,triaxial accelerometer data,and psychological characteristics were acquired from IoT wearable devices.To attain highly accurate Smart Healthcare Monitoring with less time,Partial Least Square helps extract the dimensionality-reduced features.After that,with these resulting features,SVIAL is proposed for Smart Healthcare Monitoring with the help of Machine Learning and Intelligent Agents to minimize both analysis falsification and overhead.Experimental evaluation is carried out for factors such as time,overhead,and false positive rate accuracy concerning several instances.The quantitatively analyzed results indicate the better performance of our proposed SPR-SVIAL method when compared with two state-of-the-art methods.展开更多
Gastrointestinal(GI)complications frequently necessitate intensive care unit(ICU)admission.Additionally,critically ill patients also develop GI complications requiring further diagnostic and therapeutic interventions....Gastrointestinal(GI)complications frequently necessitate intensive care unit(ICU)admission.Additionally,critically ill patients also develop GI complications requiring further diagnostic and therapeutic interventions.However,these patients form a vulnerable group,who are at risk for developing side effects and complications.Every effort must be made to reduce invasiveness and ensure safety of interventions in ICU patients.Artificial intelligence(AI)is a rapidly evolving technology with several potential applications in healthcare settings.ICUs produce a large amount of data,which may be employed for creation of AI algorithms,and provide a lucrative opportunity for application of AI.However,the current role of AI in these patients remains limited due to lack of large-scale trials comparing the efficacy of AI with the accepted standards of care.展开更多
In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high st...In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high storage,and computational hardware.In this paper,an intelligent healthcare system has been proposed for the prediction and severity analysis of lung disease from chest computer tomography(CT)images of patients with pneumonia,Covid-19,tuberculosis(TB),and cancer.Firstly,the CT images are captured and transmitted to the fog node through IoT devices.In the fog node,the image gets modified into a convenient and efficient format for further processing.advanced encryption Standard(AES)algorithm serves a substantial role in IoT and fog nodes for preventing data from being accessed by other operating systems.Finally,the preprocessed image can be classified automatically in the cloud by using various transfer and ensemble learning models.Herein different pre-trained deep learning architectures(Inception-ResNet-v2,VGG-19,ResNet-50)used transfer learning is adopted for feature extraction.The softmax of heterogeneous base classifiers assists to make individual predictions.As a meta-classifier,the ensemble approach is employed to obtain final optimal results.Disease predicted image is consigned to the recurrent neural network with long short-term memory(RNN-LSTM)for severity analysis,and the patient is directed to seek therapy based on the outcome.The proposed method achieved 98.6%accuracy,0.978 precision,0.982 recalls,and 0.974 F1-score on five class classifications.The experimental findings reveal that the proposed framework assists medical experts with lung disease screening and provides a valuable second perspective.展开更多
With the intensification of population aging and the implementation of the three-child policy,the elderly care pressure of Chinese families continues to rise.Therefore,accelerating the construction of a new intelligen...With the intensification of population aging and the implementation of the three-child policy,the elderly care pressure of Chinese families continues to rise.Therefore,accelerating the construction of a new intelligent elderly care service model is an important measure to actively respond to population aging,ease the burden of family elderly care and promote high-quality economic development.In view of this,this study analyzed the intelligent elderly care service to explore the relevant countermeasures of the intelligent elderly care service in the context of fewer children.展开更多
Critical care medicine in the 21st century has witnessed remarkable advancements that have significantly improved patient outcomes in intensive care units(ICUs).This abstract provides a concise summary of the latest d...Critical care medicine in the 21st century has witnessed remarkable advancements that have significantly improved patient outcomes in intensive care units(ICUs).This abstract provides a concise summary of the latest developments in critical care,highlighting key areas of innovation.Recent advancements in critical care include Precision Medicine:Tailoring treatments based on individual patient characteristics,genomics,and biomarkers to enhance the effectiveness of therapies.The objective is to describe the recent advancements in Critical Care Medicine.Telemedicine:The integration of telehealth technologies for remote patient monitoring and consultation,facilitating timely interventions.Artificial intelligence(AI):AI-driven tools for early disease detection,predictive analytics,and treatment optimization,enhancing clinical decision-making.Organ Support:Advanced life support systems,such as Extracorporeal Membrane Oxygenation and Continuous Renal Replacement Therapy provide better organ support.Infection Control:Innovative infection control measures to combat emerging pathogens and reduce healthcare-associated infections.Ventilation Strategies:Precision ventilation modes and lung-protective strategies to minimize ventilatorinduced lung injury.Sepsis Management:Early recognition and aggressive management of sepsis with tailored interventions.Patient-Centered Care:A shift towards patient-centered care focusing on psychological and emotional wellbeing in addition to medical needs.We conducted a thorough literature search on PubMed,EMBASE,and Scopus using our tailored strategy,incorporating keywords such as critical care,telemedicine,and sepsis management.A total of 125 articles meeting our criteria were included for qualitative synthesis.To ensure reliability,we focused only on articles published in the English language within the last two decades,excluding animal studies,in vitro/molecular studies,and non-original data like editorials,letters,protocols,and conference abstracts.These advancements reflect a dynamic landscape in critical care medicine,where technology,research,and patient-centered approaches converge to improve the quality of care and save lives in ICUs.The future of critical care promises even more innovative solutions to meet the evolving challenges of modern medicine.展开更多
Compared to the situation of population aging and the elderly aging, the development of oldage undertaking in Nanchang is still undeveloped in that the old-age care industry lags behind the urban renewal speed and the...Compared to the situation of population aging and the elderly aging, the development of oldage undertaking in Nanchang is still undeveloped in that the old-age care industry lags behind the urban renewal speed and the objective needs of aging. Apart from discussions on the composition of elderly population and the status quo of aging, this paper took the institutional old-age care in the downtown area of Nanchang for example, explored problems in the current institutional old-age care facilities through field investigation, and proposed suggestions for the layout planning of old-age care facilities in the study area.展开更多
In this editorial,we discuss an article titled,“Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning,”published in a recent issue of the World J...In this editorial,we discuss an article titled,“Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning,”published in a recent issue of the World Journal of Clinical Cases.Intensive care unit-acquired weakness(ICU-AW)is a debilitating condition that affects critically ill patients,with significant implications for patient outcomes and their quality of life.This study explored the use of artificial intelligence and machine learning techniques to predict ICU-AW occurrence and identify key risk factors.Data from a cohort of 1063 adult intensive care unit(ICU)patients were analyzed,with a particular emphasis on variables such as duration of ICU stay,duration of mechanical ventilation,doses of sedatives and vasopressors,and underlying comorbidities.A multilayer perceptron neural network model was developed,which exhibited a remarkable impressive prediction accuracy of 86.2%on the training set and 85.5%on the test set.The study highlights the importance of early prediction and intervention in mitigating ICU-AW risk and improving patient outcomes.展开更多
With the deepening of China＇s aging, China＇s social pension problem more obvious each day, and gradually become the focus of attention of the whole society. On the one hand, China entered the aging society, old-age ...With the deepening of China＇s aging, China＇s social pension problem more obvious each day, and gradually become the focus of attention of the whole society. On the one hand, China entered the aging society, old-age needs to grow exponentially. The sixth national census shows that in our country, the population aged 60 and 13.26% of the total population over the total number of 179 million, 65 years and older the proportion of 8.87% of the total population, the absolute number of nearly 120 million. Hundreds of millions of older age groups will produce a growing demand for care services, which is the original old-age service system and the whole economic and social development is a huge pressure. On the other hand, with the economic and social transformation, the traditional model of family pension has been unable to adapt to the profound changes in modem employment, family structure, the concept of retirement, since most parts of China, ＂old before getting ricE＂ the situation, how to solve the elderly the pension problem is related to the overall situation of China＇s economic and social development, related to the overall situation of building a harmonious society in China. Under current national conditions, the emphasis on the development of a single individual body to meet the growing demand for pension service is not realistic, we must mobilize the enthusiasm of all aspects of the element, multi-service integration of resources subject to their commitment to a different responsibilities and tasks provide a full range of care services according to different types, different levels of the actual needs of the older age groups. On the aging problem is that the whole community to face, you need to multi-government body, families, communities, institutions combine effectively starting from the actual needs of the elderly population, according to the financial assistance, life care, spiritual consolation three set the specific needs of services, through a government-led, home-based care services, community care services for the core and supplementary services for institutions focused on pension and other means to provide a full range of pension services.展开更多
The new urbanization is an important carrier of ecological civilization construction, and ecological old-age care is the concrete manifestation of the perfect combination of the two, the proper meaning of the new urba...The new urbanization is an important carrier of ecological civilization construction, and ecological old-age care is the concrete manifestation of the perfect combination of the two, the proper meaning of the new urbanization connotation and an inevitable trend of its development. Based on the analysis of the connotation and relationship between the new urbanization and ecological old-age care, together with the current situation and existing problems of the current nursing institutions and ecological old-age care in Xi'an area, this paper discusses the major issues that should be noticed when constructing the ecological old-age care community in Xi'an and three main construction modes.展开更多
The 21st century is an era of aging population. With the accelerated aging of the population in our country, and the grim form of population aging, intelligent home-based care has become a concern for the elderly in t...The 21st century is an era of aging population. With the accelerated aging of the population in our country, and the grim form of population aging, intelligent home-based care has become a concern for the elderly in the area of ？？care. This paper starts from the new concept of intelligent home-based care services and defines intelligent home care services. It also summarizes the current theoretical researches related to domestic research, which is of great significance for the investigation and research conducted in the later stage of research.展开更多
Through the analysis of the history and current situation of Russia＇s old-age care services system, this paper analyzes and studies the old-age care services system in Russia. By means of law and social policy, Russi...Through the analysis of the history and current situation of Russia＇s old-age care services system, this paper analyzes and studies the old-age care services system in Russia. By means of law and social policy, Russia can promote the active participation of the elderly in politics, economy, culture and other activities to promote the positive image of the elderly. The active aging policy in Russia and the development trend of the old-age care service to promote the social adaptation and re-employment of the elderly are of positive significance to the development of our country＇s old-age care service.展开更多
MODERN medical diagnosis and practice heavily rely on biological data and information from patients’ body.The progress of biomedical sensor,material and mathematical technology provided ever-increasing methods to gat...MODERN medical diagnosis and practice heavily rely on biological data and information from patients’ body.The progress of biomedical sensor,material and mathematical technology provided ever-increasing methods to gather data.While providing more choices and more comprehensive picture of patients’ conditions to doctors and practitioners,these progresses also require more labor efforts to read,analyze,and make decisions based on those data.It is very difficult for the medical human resources to grow at a speed that matches such need for diagnosis-related expert knowledge.The shortage of expertise has caused long waiting time for check report and fatal misjudged diagnosis in public health system,and it will compromise our ability to move towards a more precise,more personalized and more efficient future of medicine.展开更多
In the field of robotics and in the health sciences, transitions have been occurring in the control of robots operating with predetermined logic and rules. Robotics in health care are influencing human caring dynamics...In the field of robotics and in the health sciences, transitions have been occurring in the control of robots operating with predetermined logic and rules. Robotics in health care are influencing human caring dynamics in many ways such as enhancing dependency and surrender to machine technologies. Situations such as these are charged with possibilities of legal liabilities triggered by influences and consequences of advancing robotic technology dependency. The purpose of this paper is to identify, describe, and explain legal issues and/or dilemmas centered on robotics in healthcare while providing engaging opportunities to limit consequent legalities thus forming beneficial human health care outcomes. Laying bare these liabilities will provide critically informative data that can foster proactive encounters which can or may deter health care liabilities while ensuring quality healthcare outcomes. An attempt is made to re-conceptualize how to view agency, causality, liability responsibility, culpability, and autonomy for the new age of autonomous robots. While it is still not clear how this would turn out, a clear framing of the problem is the first step in the project.展开更多
Artificial intelligence(AI)and digital twin models of various systems have long been used in industry to test products quickly and efficiently.Use of digital twins in clinical medicine caught attention with the develo...Artificial intelligence(AI)and digital twin models of various systems have long been used in industry to test products quickly and efficiently.Use of digital twins in clinical medicine caught attention with the development of Archimedes,an AI model of diabetes,in 2003.More recently,AI models have been applied to the fields of cardiology,endocrinology,and undergraduate medical education.The use of digital twins and AI thus far has focused mainly on chronic disease management,their application in the field of critical care medicine remains much less explored.In neurocritical care,current AI technology focuses on interpreting electroencephalography,monitoring intracranial pressure,and prognosticating outcomes.AI models have been developed to interpret electroencephalograms by helping to annotate the tracings,detecting seizures,and identifying brain activation in unresponsive patients.In this mini-review we describe the challenges and opportunities in building an actionable AI model pertinent to neurocritical care that can be used to educate the newer generation of clinicians and augment clinical decision making.展开更多
Personal health records and electronic health records are considered as the most sensitive information in the healthcare domain.Several solutions have been provided for implementing the digital health system using blo...Personal health records and electronic health records are considered as the most sensitive information in the healthcare domain.Several solutions have been provided for implementing the digital health system using blockchain,but there are several challenges,such as secure access control and privacy is one of the prominent issues.Hence,we propose a novel framework and implemented an attribute-based access control system using blockchain.Moreover,we have also integrated artificial intelligence(AI)based approach to identify the behavior and activity for security reasons.The current methods only focus on the related clinical records received from a medical diagnosis.Moreover,existing methods are too inflexible to resourcefully sustenance metadata changes.A secure patient data access framework is proposed in this research,integrating blockchain,trust chain,and blockchain methods to overcome these problems in the literature for sharing and accessing digital healthcare data.We have used a neural network and classifier to categorize the user access to our proposed system.Our proposed scheme provides an intelligent and secure blockchain-based access control system in the digital healthcare system.Experimental results surpass the existing solutions by collecting attributes such as the number of transactions,number of nodes,transaction delay,block creation,and signature verification time.展开更多
With the arrival of the fourth industrial revolution,the combination of artificial intelligence and medical treatment has become an inevitable trend.As a people-centered discipline,the importance of humanistic care is...With the arrival of the fourth industrial revolution,the combination of artificial intelligence and medical treatment has become an inevitable trend.As a people-centered discipline,the importance of humanistic care is self-evident.Based on the development status of humanistic care,this paper discusses that when artificial intelligence is applied to medicine,it will help patients improve the treatment process,protect their right to know and expression,help medical personnel deal with repetitive work,improve work efficiency,provide doctors with psychological medical time and enhance doctor-patient trust.At the same time,it will inevitably lead to the lack of emotion in the way of diagnosis and treatment,the threat to the authority of doctors,and the disclosure of patients'personal information.Therefore,in the era of artificial intelligence,doctors should return to the service foundation of humanistic care,"master"the"art of medicine"of artificial intelligence technology,and improve the practical road of laws and regulations.展开更多
Hip replacement(HA)is mainly indicated for the elderly,who generally suffer from various underlying diseases such as hypertension.This article provides a review of the key points of perioperative nursing care for pati...Hip replacement(HA)is mainly indicated for the elderly,who generally suffer from various underlying diseases such as hypertension.This article provides a review of the key points of perioperative nursing care for patients with hyper-tension undergoing HA.It analyzes the key points of care during the periop-erative period(preoperative,intraoperative,and postoperative)and proposes directions for the development of perioperative nursing care for HA.The pro-gnosis for patients can be improved through the modification of traditional medical approaches and the application of new technologies and concepts.展开更多
Prosthodontics,deals in the restoration and replacement of missing and structurally compromised teeth,this field has been remarkably transformed in the last two decades.Through the integration of digital imaging and t...Prosthodontics,deals in the restoration and replacement of missing and structurally compromised teeth,this field has been remarkably transformed in the last two decades.Through the integration of digital imaging and threedimensional printing,prosthodontics has evolved to provide more durable,precise,and patient-centric outcome.However,as we stand at the convergence of technology and healthcare,a new era is emerging,one that holds immense promise for the field and that is artificial intelligence(AI).In this paper,we explored the fascinating challenges and prospects associated with the future of prosthodontics in the era of AI.展开更多
Several studies exist in the literature regarding the exploitation of artificial intelligence in intensive care.However,an important gap between clinical research and daily clinical practice still exists that can only...Several studies exist in the literature regarding the exploitation of artificial intelligence in intensive care.However,an important gap between clinical research and daily clinical practice still exists that can only be bridged by robust validation studies carried out by multidisciplinary teams.展开更多
Rapid population aging is a social reality facing China at present,and the issue of elderly care has become a hot topic of social concern.Legislation to address the issue of elderly care in the context of population a...Rapid population aging is a social reality facing China at present,and the issue of elderly care has become a hot topic of social concern.Legislation to address the issue of elderly care in the context of population aging should follow systematic concepts to achieve“vertical and horizontal integration.”In terms of content,it is necessary to formulate specific legal approaches around“the elderly and children,”with a focus on guaranteeing the livelihood and protection of the rights of the elderly while taking into account childbirth,employment and other issues.the laws should not only safeguard the social participation and labor rights of the elderly,but also effectively respond to the social challenges brought about by the aging of the population.It is also necessary to optimize the family planning policy to ease the burden of child-raising,improve the population structure and promote the long-term balanced development of the population,thus fundamentally solving the problem of population aging.the effort to improve the legal system to deal with the issue of elderly care in the context of population aging will better advance Chinese modernization.展开更多
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2022R194)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and recovery.The exploitation of machine learning with an intelligent agent in the area of health informatics gathered using HAR augments the decision-making quality and significance.Although many research works conducted on Smart Healthcare Monitoring,there remain a certain number of pitfalls such as time,overhead,and falsification involved during analysis.Therefore,this paper proposes a Statistical Partial Regression and Support Vector Intelligent Agent Learning(SPR-SVIAL)for Smart Healthcare Monitoring.At first,the Statistical Partial Regression Feature Extraction model is used for data preprocessing along with the dimensionality-reduced features extraction process.Here,the input dataset the continuous beat-to-beat heart data,triaxial accelerometer data,and psychological characteristics were acquired from IoT wearable devices.To attain highly accurate Smart Healthcare Monitoring with less time,Partial Least Square helps extract the dimensionality-reduced features.After that,with these resulting features,SVIAL is proposed for Smart Healthcare Monitoring with the help of Machine Learning and Intelligent Agents to minimize both analysis falsification and overhead.Experimental evaluation is carried out for factors such as time,overhead,and false positive rate accuracy concerning several instances.The quantitatively analyzed results indicate the better performance of our proposed SPR-SVIAL method when compared with two state-of-the-art methods.
文摘Gastrointestinal(GI)complications frequently necessitate intensive care unit(ICU)admission.Additionally,critically ill patients also develop GI complications requiring further diagnostic and therapeutic interventions.However,these patients form a vulnerable group,who are at risk for developing side effects and complications.Every effort must be made to reduce invasiveness and ensure safety of interventions in ICU patients.Artificial intelligence(AI)is a rapidly evolving technology with several potential applications in healthcare settings.ICUs produce a large amount of data,which may be employed for creation of AI algorithms,and provide a lucrative opportunity for application of AI.However,the current role of AI in these patients remains limited due to lack of large-scale trials comparing the efficacy of AI with the accepted standards of care.
文摘In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high storage,and computational hardware.In this paper,an intelligent healthcare system has been proposed for the prediction and severity analysis of lung disease from chest computer tomography(CT)images of patients with pneumonia,Covid-19,tuberculosis(TB),and cancer.Firstly,the CT images are captured and transmitted to the fog node through IoT devices.In the fog node,the image gets modified into a convenient and efficient format for further processing.advanced encryption Standard(AES)algorithm serves a substantial role in IoT and fog nodes for preventing data from being accessed by other operating systems.Finally,the preprocessed image can be classified automatically in the cloud by using various transfer and ensemble learning models.Herein different pre-trained deep learning architectures(Inception-ResNet-v2,VGG-19,ResNet-50)used transfer learning is adopted for feature extraction.The softmax of heterogeneous base classifiers assists to make individual predictions.As a meta-classifier,the ensemble approach is employed to obtain final optimal results.Disease predicted image is consigned to the recurrent neural network with long short-term memory(RNN-LSTM)for severity analysis,and the patient is directed to seek therapy based on the outcome.The proposed method achieved 98.6%accuracy,0.978 precision,0.982 recalls,and 0.974 F1-score on five class classifications.The experimental findings reveal that the proposed framework assists medical experts with lung disease screening and provides a valuable second perspective.
基金Supported by National College Students Innovation and Entrepreneurship Training Program of the Ministry of Education in 2021"Analysis and Research on Current Situation of Demand for Elderly Care Service in the Context of Implementing the Three-child Policy"(202114389021).
文摘With the intensification of population aging and the implementation of the three-child policy,the elderly care pressure of Chinese families continues to rise.Therefore,accelerating the construction of a new intelligent elderly care service model is an important measure to actively respond to population aging,ease the burden of family elderly care and promote high-quality economic development.In view of this,this study analyzed the intelligent elderly care service to explore the relevant countermeasures of the intelligent elderly care service in the context of fewer children.
文摘Critical care medicine in the 21st century has witnessed remarkable advancements that have significantly improved patient outcomes in intensive care units(ICUs).This abstract provides a concise summary of the latest developments in critical care,highlighting key areas of innovation.Recent advancements in critical care include Precision Medicine:Tailoring treatments based on individual patient characteristics,genomics,and biomarkers to enhance the effectiveness of therapies.The objective is to describe the recent advancements in Critical Care Medicine.Telemedicine:The integration of telehealth technologies for remote patient monitoring and consultation,facilitating timely interventions.Artificial intelligence(AI):AI-driven tools for early disease detection,predictive analytics,and treatment optimization,enhancing clinical decision-making.Organ Support:Advanced life support systems,such as Extracorporeal Membrane Oxygenation and Continuous Renal Replacement Therapy provide better organ support.Infection Control:Innovative infection control measures to combat emerging pathogens and reduce healthcare-associated infections.Ventilation Strategies:Precision ventilation modes and lung-protective strategies to minimize ventilatorinduced lung injury.Sepsis Management:Early recognition and aggressive management of sepsis with tailored interventions.Patient-Centered Care:A shift towards patient-centered care focusing on psychological and emotional wellbeing in addition to medical needs.We conducted a thorough literature search on PubMed,EMBASE,and Scopus using our tailored strategy,incorporating keywords such as critical care,telemedicine,and sepsis management.A total of 125 articles meeting our criteria were included for qualitative synthesis.To ensure reliability,we focused only on articles published in the English language within the last two decades,excluding animal studies,in vitro/molecular studies,and non-original data like editorials,letters,protocols,and conference abstracts.These advancements reflect a dynamic landscape in critical care medicine,where technology,research,and patient-centered approaches converge to improve the quality of care and save lives in ICUs.The future of critical care promises even more innovative solutions to meet the evolving challenges of modern medicine.
基金Sponsored by National Natural Science Foundation of China(51568025)"Twelfth Five-year Plan"of Jiangxi Provincial Social Sciences Program(14SH05)Humanities and Social Science Project of Jiangxi Universities and Colleges(JC1434)
文摘Compared to the situation of population aging and the elderly aging, the development of oldage undertaking in Nanchang is still undeveloped in that the old-age care industry lags behind the urban renewal speed and the objective needs of aging. Apart from discussions on the composition of elderly population and the status quo of aging, this paper took the institutional old-age care in the downtown area of Nanchang for example, explored problems in the current institutional old-age care facilities through field investigation, and proposed suggestions for the layout planning of old-age care facilities in the study area.
基金Supported by China Medical University,No.CMU111-MF-102.
文摘In this editorial,we discuss an article titled,“Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning,”published in a recent issue of the World Journal of Clinical Cases.Intensive care unit-acquired weakness(ICU-AW)is a debilitating condition that affects critically ill patients,with significant implications for patient outcomes and their quality of life.This study explored the use of artificial intelligence and machine learning techniques to predict ICU-AW occurrence and identify key risk factors.Data from a cohort of 1063 adult intensive care unit(ICU)patients were analyzed,with a particular emphasis on variables such as duration of ICU stay,duration of mechanical ventilation,doses of sedatives and vasopressors,and underlying comorbidities.A multilayer perceptron neural network model was developed,which exhibited a remarkable impressive prediction accuracy of 86.2%on the training set and 85.5%on the test set.The study highlights the importance of early prediction and intervention in mitigating ICU-AW risk and improving patient outcomes.
文摘With the deepening of China＇s aging, China＇s social pension problem more obvious each day, and gradually become the focus of attention of the whole society. On the one hand, China entered the aging society, old-age needs to grow exponentially. The sixth national census shows that in our country, the population aged 60 and 13.26% of the total population over the total number of 179 million, 65 years and older the proportion of 8.87% of the total population, the absolute number of nearly 120 million. Hundreds of millions of older age groups will produce a growing demand for care services, which is the original old-age service system and the whole economic and social development is a huge pressure. On the other hand, with the economic and social transformation, the traditional model of family pension has been unable to adapt to the profound changes in modem employment, family structure, the concept of retirement, since most parts of China, ＂old before getting ricE＂ the situation, how to solve the elderly the pension problem is related to the overall situation of China＇s economic and social development, related to the overall situation of building a harmonious society in China. Under current national conditions, the emphasis on the development of a single individual body to meet the growing demand for pension service is not realistic, we must mobilize the enthusiasm of all aspects of the element, multi-service integration of resources subject to their commitment to a different responsibilities and tasks provide a full range of care services according to different types, different levels of the actual needs of the older age groups. On the aging problem is that the whole community to face, you need to multi-government body, families, communities, institutions combine effectively starting from the actual needs of the elderly population, according to the financial assistance, life care, spiritual consolation three set the specific needs of services, through a government-led, home-based care services, community care services for the core and supplementary services for institutions focused on pension and other means to provide a full range of pension services.
基金supported by the 2016 Special Scientific Research Project of Shaanxi Education Department(Grant No.16JK2129)
文摘The new urbanization is an important carrier of ecological civilization construction, and ecological old-age care is the concrete manifestation of the perfect combination of the two, the proper meaning of the new urbanization connotation and an inevitable trend of its development. Based on the analysis of the connotation and relationship between the new urbanization and ecological old-age care, together with the current situation and existing problems of the current nursing institutions and ecological old-age care in Xi'an area, this paper discusses the major issues that should be noticed when constructing the ecological old-age care community in Xi'an and three main construction modes.
文摘The 21st century is an era of aging population. With the accelerated aging of the population in our country, and the grim form of population aging, intelligent home-based care has become a concern for the elderly in the area of ？？care. This paper starts from the new concept of intelligent home-based care services and defines intelligent home care services. It also summarizes the current theoretical researches related to domestic research, which is of great significance for the investigation and research conducted in the later stage of research.
文摘Through the analysis of the history and current situation of Russia＇s old-age care services system, this paper analyzes and studies the old-age care services system in Russia. By means of law and social policy, Russia can promote the active participation of the elderly in politics, economy, culture and other activities to promote the positive image of the elderly. The active aging policy in Russia and the development trend of the old-age care service to promote the social adaptation and re-employment of the elderly are of positive significance to the development of our country＇s old-age care service.
文摘MODERN medical diagnosis and practice heavily rely on biological data and information from patients’ body.The progress of biomedical sensor,material and mathematical technology provided ever-increasing methods to gather data.While providing more choices and more comprehensive picture of patients’ conditions to doctors and practitioners,these progresses also require more labor efforts to read,analyze,and make decisions based on those data.It is very difficult for the medical human resources to grow at a speed that matches such need for diagnosis-related expert knowledge.The shortage of expertise has caused long waiting time for check report and fatal misjudged diagnosis in public health system,and it will compromise our ability to move towards a more precise,more personalized and more efficient future of medicine.
文摘In the field of robotics and in the health sciences, transitions have been occurring in the control of robots operating with predetermined logic and rules. Robotics in health care are influencing human caring dynamics in many ways such as enhancing dependency and surrender to machine technologies. Situations such as these are charged with possibilities of legal liabilities triggered by influences and consequences of advancing robotic technology dependency. The purpose of this paper is to identify, describe, and explain legal issues and/or dilemmas centered on robotics in healthcare while providing engaging opportunities to limit consequent legalities thus forming beneficial human health care outcomes. Laying bare these liabilities will provide critically informative data that can foster proactive encounters which can or may deter health care liabilities while ensuring quality healthcare outcomes. An attempt is made to re-conceptualize how to view agency, causality, liability responsibility, culpability, and autonomy for the new age of autonomous robots. While it is still not clear how this would turn out, a clear framing of the problem is the first step in the project.
基金Supported by the National Center for Advancing Translational Sciences,No.UL1 TR002377.
文摘Artificial intelligence(AI)and digital twin models of various systems have long been used in industry to test products quickly and efficiently.Use of digital twins in clinical medicine caught attention with the development of Archimedes,an AI model of diabetes,in 2003.More recently,AI models have been applied to the fields of cardiology,endocrinology,and undergraduate medical education.The use of digital twins and AI thus far has focused mainly on chronic disease management,their application in the field of critical care medicine remains much less explored.In neurocritical care,current AI technology focuses on interpreting electroencephalography,monitoring intracranial pressure,and prognosticating outcomes.AI models have been developed to interpret electroencephalograms by helping to annotate the tracings,detecting seizures,and identifying brain activation in unresponsive patients.In this mini-review we describe the challenges and opportunities in building an actionable AI model pertinent to neurocritical care that can be used to educate the newer generation of clinicians and augment clinical decision making.
基金This research was supported by Taif University Researchers Supporting Project number(TURSP-2020/98),Taif University,Taif,Saudi Arabia.
文摘Personal health records and electronic health records are considered as the most sensitive information in the healthcare domain.Several solutions have been provided for implementing the digital health system using blockchain,but there are several challenges,such as secure access control and privacy is one of the prominent issues.Hence,we propose a novel framework and implemented an attribute-based access control system using blockchain.Moreover,we have also integrated artificial intelligence(AI)based approach to identify the behavior and activity for security reasons.The current methods only focus on the related clinical records received from a medical diagnosis.Moreover,existing methods are too inflexible to resourcefully sustenance metadata changes.A secure patient data access framework is proposed in this research,integrating blockchain,trust chain,and blockchain methods to overcome these problems in the literature for sharing and accessing digital healthcare data.We have used a neural network and classifier to categorize the user access to our proposed system.Our proposed scheme provides an intelligent and secure blockchain-based access control system in the digital healthcare system.Experimental results surpass the existing solutions by collecting attributes such as the number of transactions,number of nodes,transaction delay,block creation,and signature verification time.
基金This work was supported by the Major consulting projects of Chinese Academy of Engineering in 2019(2019-ZD-6-03).
文摘With the arrival of the fourth industrial revolution,the combination of artificial intelligence and medical treatment has become an inevitable trend.As a people-centered discipline,the importance of humanistic care is self-evident.Based on the development status of humanistic care,this paper discusses that when artificial intelligence is applied to medicine,it will help patients improve the treatment process,protect their right to know and expression,help medical personnel deal with repetitive work,improve work efficiency,provide doctors with psychological medical time and enhance doctor-patient trust.At the same time,it will inevitably lead to the lack of emotion in the way of diagnosis and treatment,the threat to the authority of doctors,and the disclosure of patients'personal information.Therefore,in the era of artificial intelligence,doctors should return to the service foundation of humanistic care,"master"the"art of medicine"of artificial intelligence technology,and improve the practical road of laws and regulations.
文摘Hip replacement(HA)is mainly indicated for the elderly,who generally suffer from various underlying diseases such as hypertension.This article provides a review of the key points of perioperative nursing care for patients with hyper-tension undergoing HA.It analyzes the key points of care during the periop-erative period(preoperative,intraoperative,and postoperative)and proposes directions for the development of perioperative nursing care for HA.The pro-gnosis for patients can be improved through the modification of traditional medical approaches and the application of new technologies and concepts.
文摘Prosthodontics,deals in the restoration and replacement of missing and structurally compromised teeth,this field has been remarkably transformed in the last two decades.Through the integration of digital imaging and threedimensional printing,prosthodontics has evolved to provide more durable,precise,and patient-centric outcome.However,as we stand at the convergence of technology and healthcare,a new era is emerging,one that holds immense promise for the field and that is artificial intelligence(AI).In this paper,we explored the fascinating challenges and prospects associated with the future of prosthodontics in the era of AI.
文摘Several studies exist in the literature regarding the exploitation of artificial intelligence in intensive care.However,an important gap between clinical research and daily clinical practice still exists that can only be bridged by robust validation studies carried out by multidisciplinary teams.
基金supported by the Academic Start-up Plan for Young Teachers at Beijing Institute of Technologythe National Social Science Major Project“Legal System and Trends of U.S.Technology Export Control and China’s Countermeasures”(Project Approval Number 21VGQ002).
文摘Rapid population aging is a social reality facing China at present,and the issue of elderly care has become a hot topic of social concern.Legislation to address the issue of elderly care in the context of population aging should follow systematic concepts to achieve“vertical and horizontal integration.”In terms of content,it is necessary to formulate specific legal approaches around“the elderly and children,”with a focus on guaranteeing the livelihood and protection of the rights of the elderly while taking into account childbirth,employment and other issues.the laws should not only safeguard the social participation and labor rights of the elderly,but also effectively respond to the social challenges brought about by the aging of the population.It is also necessary to optimize the family planning policy to ease the burden of child-raising,improve the population structure and promote the long-term balanced development of the population,thus fundamentally solving the problem of population aging.the effort to improve the legal system to deal with the issue of elderly care in the context of population aging will better advance Chinese modernization.
