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ISSN: 2588-9141

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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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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Internet of Things in healthcare: An adaptive ethical framework for IoT in digital health

The emergence of the Internet of Things (IoT) has sparked a profound transformation in the field of digital health, leading to the rise of the Internet of Medical Things (IoMT). These IoT applications,...

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Machine learning and transfer learning techniques for accurate brain tumor classification

Brain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks if not treated early. Despite numerous advancements, accurate segmentation and classification remain challenging....

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A systematic review of eHealth and mHealth interventions for lymphedema patients

Lymphedema is a chronic inflammatory disease that causes chronic swelling in the affected area, necessitating daily treatment. Millions of people worldwide are affected. The investigation of strategies...

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“AI et al.” The perils of overreliance on Artificial Intelligence by authors in scientific research

The rapid integration of Artificial Intelligence (AI) into scientific research and publication processes marks a significant shift in knowledge generation. This transition from traditional literature...

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International collaboration in an online digital health education for undergraduate nursing students in China: Results and recommendations for course development from World eHealth Living Lab

Digital health enhances healthcare accessibility and should be integrated into nursing education to prepare future nurses for the evolving medical systems. An international collaboration between a Chinese...

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Expert Consensus for Smoking Cessation with Metaverse in Medicine

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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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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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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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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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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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Exploring the metaverse hospital beyond your imagination

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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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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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Clinical characteristics and outcome of patients with SARS-CoV-2 Omicron variant in Shanghai: A single center, retrospective, observational study

In March 2022, a severe outbreak of the SARS-CoV-2 Omicron variant occurred in Shanghai. This study aimed to determine disease severity, clinical features, clinical outcome in hospitalized patients...

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A brief evaluation on mobile stroke Unit and mobile CT

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Expert consensus on the “Digital Human” of metaverse in medicine

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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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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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