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ISSN: 2588-9141

Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings

Febrile diseases are highly prevalent in tropical regions due to elevated humidity and high temperatures. These regions, mainly comprising low- and middle-income countries, often face challenges related...

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IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease

•Integration of IoMT with Type-2 Fuzzy Logic: The study introduces a novel integration of the Internet of Medical Things (IoMT) with Tsukamoto Type-2 Fuzzy Inference System (TT2FIS), offering a cutting-edge...

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Research progress of MIoT and digital healthcare in the new era

Medical Internet of Things (MIoT) and Digital healthcare have long since ceased to be separate entities. Cross-fertilisation of MIoT-based digital medical treatment models is the way forward. However,...

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Post pandemic analysis on comprehensive utilization of telehealth and telemedicine

The existing global health crisis characterized by limited resources, including health personnel, has prompted the adoption of telemedicine and telehealth, especially in the post-pandemic era. The COVID-19...

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Hybrid approach of type-2 fuzzy inference system and PSO in asthma disease

This research work presents a hybrid approach combining a type-2 fuzzy inference system with particle swarm optimization (PSO) to develop a type-2 fuzzy optimized inference system, specifically tailored...

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Expert consensus on the evaluation and management of high-risk indeterminate pulmonary nodules

The most effective method for improving the prognosis of lung cancer is the application of low-dose computed tomography (LDCT) for pulmonary nodule screening in populations at high risk. Timely diagnosis...

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Wearable electronic devices in the intensive care units

In the realm of intensive care medicine, wearable electronic devices have emerged as a highly promising field, driven by advancements in mobile, intelligent, and personalized healthcare. They are defined...

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Wearable dynamic electrocardiogram monitor-based screening for atrial fibrillation in the community-dwelling elderly population

•The application of wearable dynamic ECG monitoring can improve the diagnosis rate of AF in the elderly population.•A significant proportion of elderly people living in the community had silent AF and...

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Patient-individual 3D-printing of drugs within a machine-learning-assisted closed-loop medication management – Design and first results of a feasibility study

3D-printing of medicines is an innovative manufacturing method that is characterised by a high degree of digitalisation and automation and enables patient-specific care. Its integration into routine...

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Access barriers to care for patients with silent cerebrovascular disease (SCD) in rural China: A cross-sectional questionnaire-based study

Timely diagnosis and treatment of silent cerebrovascular disease (SCD) are critical for future cerebrovascular disease prevention, whereas asymptomatic specificity of SCD can lead to a lack of reasonable...

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Immune aging and pulmonary diseases

Pulmonary immune system, constituted with innate immune and adaptive immune, defenses against pathogens, eliminates senescent cells, and maintains pulmonary physiological homeostasis. The physiological...

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A machine-learning approach for prediction of hospital mortality in cancer-related sepsis

To develop a machine learning model to predict hospital mortality and identify risk factors in cancer-related sepsis patients....

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Metaverse: Freezing the time

Considering the poor efficacy of drug treatment, the non-drug therapy is vital for Alzheimer’s disease (AD). As an ultimate form of Internet, Metaverse will become mainstream industry in the future....

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A brief evaluation on mobile stroke Unit and mobile CT

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Large volume whole lung lavage combined with granulocyte-macrophage colony-stimulating factor inhalation in the treatment of severe pulmonary alveolar proteinosis: A case report and literature review

Pulmonary alveolar proteinosis (PAP) is a rare lung disease characterized by the accumulation of large amounts of phospholipid protein-like surfactant material in the alveolar spaces, leading to severe...

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Impact on mental health due to COVID-19 pandemic: A cross-sectional study in Bangladesh

The government of Bangladesh has implemented the “Stay Home” policy following the WHO recommendation to resist the community transmission of Covid-19. As a result, the routine activities of all government,...

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Exploring the metaverse hospital beyond your imagination

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Cardiovascular disease patients’ views on using financial incentives for health behavior change: Are deposit contracts acceptable?

There is an urgent need to find new approaches that improve long-term adherence to a healthy lifestyle for people with cardiovascular disease (CVD). Deposit contracts (a financial incentive in which...

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A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)

Skin cancer is a significant health risk that requires early detection for effective treatment. This paper discusses two automated techniques, Artificial Neural Network (ANN) and Convolutional Neural...

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Rehafox – A therapeutical approach developing a serious game to support rehabilitation of stroke patients using a leap motion controller

The consequences of stroke are often severe and result in the need for rehabilitation of different regions in the body for a defined period. Rehabilitation exercises are often monotonous and quickly...

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A developed MEDICAL+ and MEDICAL PLUS+ for Tele patient care web applications

People face difficulties in obtaining various care services, which leads to a severe delay in health care treatment, especially in light of the events that accompanied the spread of the Covid-19 epidemic,...

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Application of artificial intelligence in modern medicine

Over the last decade, artificial intelligence in medicine has attracted much attention and interest for its robust automation and efficiency in disease diagnosis, treatment and prognosis. It has shown...

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Digital mental health interventions for anxiety and mood disorders patients: A 24-week follow-up

Digital psychoeducational interventions have been used for self-monitoring symptoms and self-care for outpatients with affective and anxiety disorders associated with a history of adverse childhood...

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Assessment of albumin and overall survival in advanced non-small cell lung cancer patients with anlotinib treatment using generalized additive model: A retrospective cohort study

Albumin is believed to be associated with the prediction of various cancers. This retrospective cohort study aimed to explore the non-linear relationship between albumin level and overall survival (OS)...

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