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Exploring adoption of augmented reality smart glasses: Applications in the medical industry

Nuri BASOGLU, Muge GOKEN, Marina DABIC, Dilek OZDEMIR GUNGOR, Tugrul U. DAIM

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 167-181 doi: 10.15302/J-FEM-2018056

Abstract: Developers of ARSGs should pay attention to healthcare-specific requirements for improved utilizationand more extensive adoption of ARSGs in healthcare settings.

Keywords： technology adoption     augmented reality smart glasses (ARSGs)     healthcare    

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Artificial Intelligence in Healthcare: Review and Prediction Case Studies Review

Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan

Engineering 2020, Volume 6, Issue 3,   Pages 291-301 doi: 10.1016/j.eng.2019.08.015

Abstract: been developing rapidly in recent years in terms of software algorithms, hardware implementation, and applicationsIn this review, we summarize the latest developments of applications of AI in biomedicine, including

Keywords： Artificial intelligence     Machine learning     Deep learning Neural network     Biomedical research     Healthcareapplications     Epileptic seizure     Urinary bladder filling    

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Occupational risk of exposure to methicillin-resistant (MRSA) and the quality of infection hygiene in nursing homes

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1333-y

Abstract:

• Staff members were not colonised with MRSA.

Keywords： Antibiotic resistance     Airborne MRSA     Bioaerosols     Healthcare-associated infections     Healthcare worker    

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Personalized biomedical devices & systems for healthcare applications

I-Ming CHEN, Soo Jay PHEE, Zhiqiang LUO, Chee Kian LIM

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 3-12 doi: 10.1007/s11465-011-0209-z

Abstract: Healthcare industry have started to benefit from this technology trend by providing more and more miniature

Keywords： personalized medical devices     wearable sensor     haptic device     ingestible medical capsule    

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A Development Strategy for China’s Healthcare Industry

Han Demin,Lu Jiuxing,Li Xingming and Li Jian

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 21-28 doi: 10.15302/J-SSCAE-2017.02.004

Abstract:

In order to promote the development of China's healthcare industryWith the objective of establishing a comprehensive healthcare security system that includes full coverageindustry and of the ideal healthcare modes for urban and rural areas.Next, in view of key problems such as health management system construction, healthcare for the aged,security for healthcare systems, this paper discusses the security measures that should be introduced

Keywords： healthcare industry     national health     development strategy    

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Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: Moreover, the healthcare industry has experienced rapid growth in the adoption of health informationfirst comprehensively reviews the main characters of blockchain and identifies the blockchain-based healthcareFurthermore, three application scenarios including distributed storage of health data, smart-contract-based healthcareservice mode, and consensus-algorithm-based incentive policy are proposed to shed light on HDB-based healthcare

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

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Protecting healthcare personnel from 2019-nCoV infection risks: lessons and suggestions

Zhiruo Zhang, Shelan Liu, Mi Xiang, Shijian Li, Dahai Zhao, Chaolin Huang, Saijuan Chen

Frontiers of Medicine 2020, Volume 14, Issue 2,   Pages 229-231 doi: 10.1007/s11684-020-0765-x

Abstract: Healthcare personnel (HCP) nationwide are facing heavy workloads and high risk of infection, especially

Keywords： healthcare personnel     COVID-19     infectious diseases    

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Collaborative Simulation and Modeling of a Regional Healthcare Group with Policy Suggestions

Hu Yiqun,Su Qiang,Li Xiaoxue and Zheng Jingchen

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 43-49 doi: 10.15302/J-SSCAE-2017.02.007

Abstract:

In order to solve the problem of residents' difficulties in affording expensive medical treatment, we build a community-hospital concept model of a secondary medical service system, and establish a function model and a referral mechanism for patients' preferences. Taking Jiading District in Shanghai as an example, we make use of the AnyLogic system modeling software and demonstrate how this model can be used to study the effect of different medical cooperation modes and medical reform policies through the introduction of actual case data. Our results show that promoting the quality of primary medical care services and increasing the reimbursement ratio of medical insurance can effectively improve the efficiency of the whole medical service system.

Keywords： agent-based modeling     policy simulation     healthcare reform     patient preference    

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A literature review of perishable medical resource management

Frontiers of Engineering Management   Pages 710-726 doi: 10.1007/s42524-023-0278-9

Abstract: In recent decades, healthcare providers have faced mounting pressure to effectively manage highly perishablereview of supply chain management pertaining to such resources, which include transplantable organs and healthcare

Keywords： perishable medical resources     organ transplant     healthcare products     decision analytics     operations management    

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Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 517-519 doi: 10.1007/s42524-022-0234-0

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A Development Opportunity and Strategic Thinking for the Comprehensive Healthcare Industry of Traditional

Zhang Boli,Zhang Junhua,Chen Shilin,Duan Jin’ao,Huang Luqi,Sun Xiaobo,Tu Pengfei,Ye Zuguang,Qu Haibin,Wei Jianhe,Zhao Daqing,Xu Yajuan and Xue Xiaojuan

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 16-20 doi: 10.15302/J-SSCAE-2017.02.003

Abstract:

With China's economic and social developments, the demand for healthcareTraditional Chinese medicine is a unique healthcare resource and an economic resource with great potentialThe services provided by traditional Chinese medicine include health preservation, healthcare, medicalA comprehensive healthcare industry based on traditional Chinese medicine involves the cultivation, RA comprehensive healthcare industry that is based on traditional Chinese medicine has strong advantages

Keywords： comprehensive healthcare     comprehensive healthcare industry     traditional Chinese medicine     modernization    

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Comparative Study on Global Development Strategies of Artificial Intelligence in Healthcare

Li Yingying, Zhang Jiannan, Gu Yanju, Zhu Yelin, He Qianfeng, Li Lanjuan

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 106-113 doi: 10.15302/J-SSCAE-2019.10.003

Abstract: text-align: justify;">This study compares the artificial intelligence (AI) development strategies in healthcareTo promote AI application in healthcare in China, we should clarify the strategic value of AI for healthcare

Keywords： healthcare     artificial intelligence     international comparison    

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Advanced biomass materials: progress in the applications for energy, environmental, and emerging fields

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 7,   Pages 795-797 doi: 10.1007/s11705-023-2336-6

Abstract: Advanced biomass materials: progress in the applications for energy, environmental, and emerging fields

Keywords： progress applications energy     fields    

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A review on the forward osmosis applications and fouling control strategies for wastewater treatment

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 5,   Pages 661-680 doi: 10.1007/s11705-021-2084-4

Abstract: During the last decades, the utilization of osmotic pressure-driven forward osmosis technology for wastewater treatment has drawn great interest, due to its high separation efficiency, low membrane fouling propensity, high water recovery and relatively low energy consumption. This review paper summarizes the implementation of forward osmosis technology for various wastewater treatment including municipal sewage, landfill leachate, oil/gas exploitation wastewater, textile wastewater, mine wastewater, and radioactive wastewater. However, membrane fouling is still a critical issue, which affects water flux stability, membrane life and operating cost. Different membrane fouling types and corresponding fouling mechanisms, including organic fouling, inorganic fouling, biofouling and combined fouling are therefore further discussed. The fouling control strategies including feed pre-treatment, operation condition optimization, membrane selection and modification, membrane cleaning and tailoring the chemistry of draw solution are also reviewed comprehensively. At the end of paper, some recommendations are proposed.

Keywords： forward osmosis     wastewater treatment     membrane fouling     fouling control    

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors including demographic data (such as age, height, weight, and gender), medical history (such as smoking, drinking, and menopause), and examination (such as bone mineral density, blood routine, and urine routine) may be related to bone metabolism in patients with diabetes. However, most of the existing methods are qualitative assessments and do not consider the interactions of the physiological factors of humans. In addition, the fracture risk of patients with diabetes and osteoporosis has not been further studied previously. In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture risk of patients with diabetes and osteoporosis, and investigate the effect of patients’ physiological factors on fracture risk. A total of 147 raw input features are considered in our model. The presented model is compared with several benchmarks based on various metrics to prove its effectiveness. Moreover, the top 18 influencing factors of fracture risks of patients with diabetes are determined.

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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Title Author Date Type Operation

Exploring adoption of augmented reality smart glasses: Applications in the medical industry

Nuri BASOGLU, Muge GOKEN, Marina DABIC, Dilek OZDEMIR GUNGOR, Tugrul U. DAIM

Journal Article

Artificial Intelligence in Healthcare: Review and Prediction Case Studies

Guoguang Rong, Arnaldo Mendez, Elie Bou Assi, Bo Zhao, Mohamad Sawan

Journal Article

Occupational risk of exposure to methicillin-resistant (MRSA) and the quality of infection hygiene in nursing homes

Journal Article

Personalized biomedical devices & systems for healthcare applications

I-Ming CHEN, Soo Jay PHEE, Zhiqiang LUO, Chee Kian LIM

Journal Article

A Development Strategy for China’s Healthcare Industry

Han Demin,Lu Jiuxing,Li Xingming and Li Jian

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Protecting healthcare personnel from 2019-nCoV infection risks: lessons and suggestions

Zhiruo Zhang, Shelan Liu, Mi Xiang, Shijian Li, Dahai Zhao, Chaolin Huang, Saijuan Chen

Journal Article

Collaborative Simulation and Modeling of a Regional Healthcare Group with Policy Suggestions

Hu Yiqun,Su Qiang,Li Xiaoxue and Zheng Jingchen

Journal Article

A literature review of perishable medical resource management

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

A Development Opportunity and Strategic Thinking for the Comprehensive Healthcare Industry of Traditional

Zhang Boli,Zhang Junhua,Chen Shilin,Duan Jin’ao,Huang Luqi,Sun Xiaobo,Tu Pengfei,Ye Zuguang,Qu Haibin,Wei Jianhe,Zhao Daqing,Xu Yajuan and Xue Xiaojuan

Journal Article

Comparative Study on Global Development Strategies of Artificial Intelligence in Healthcare

Li Yingying, Zhang Jiannan, Gu Yanju, Zhu Yelin, He Qianfeng, Li Lanjuan

Journal Article

Advanced biomass materials: progress in the applications for energy, environmental, and emerging fields

Journal Article

A review on the forward osmosis applications and fouling control strategies for wastewater treatment

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article