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ISSN: 2588-9141

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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An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network (MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for early diagnosis of...

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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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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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Application of artificial intelligence in renal disease

Artificial intelligence (AI) has been applied widely in almost every area of our daily lives, due to the growth of computing power, advances in methods and techniques, and the explosion of data, it...

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Expert consensus on the metaverse in medicine

Recently, Professor Chunxue Bai and colleagues have proposed a definition of the Metaverse in Medicine as the medical Internet of Things (MIoT) facilitated using AR and/or VR glasses....

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A systematic review on the use of mHealth to increase physical activity in older people

Physical activity (PA) is important for maintaining good physical health. WHO recommends 150 min of PA per week to the older population but many older people do not meet this recommendation. The increasing...

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Long-term effects of telemonitoring on healthcare usage in patients with heart failure or COPD

Heart failure and chronic obstructive pulmonary disease (COPD) are leading causes of disability and lead to substantial healthcare costs. The aim of this study was to evaluate the effectiveness of home...

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The metaverse in current digital medicine

The metaverse has entered people's horizons through virtual reality, digital twinning, the Internet of Things, blockchain technology, etc. In the current healthcare system, the management of chronic...

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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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Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis

Diabetes is an ailment in which glucose level increase in at high rates in blood due to body’s inability to metabolize it. This happens when body does not produce sufficient amount of insulin or it...

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Enhancing Parkinson’s disease identification using ensemble classifier and data augmentation techniques in machine learning

Parkinson’s disease (PD) is a devastating neurological syndrome that affects millions of people worldwide. For the successful treatment and control of PD, it is essential to detect it early and diagnose...

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Preliminary effects of a digital mental health intervention for depression and anxiety

Digital mental healthcare interventions (DMHIs) have been repeatedly mentioned as a possible solution for the growing demand for accessible treatment for patients suffering from common mental health...

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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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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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The effectiveness of smartphone applications to aid smoking cessation: A meta-analysis

Smartphone smoking cessation applications (SCAs) are widely available and extensively used by smokers to aid smoking cessation. However, their efficacy is unproven. The aim of this meta-analysis was...

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The influence of telemedicine on capacity development in public primary hospitals in China: A scoping review

With the rapid development of telemedicine equipment and information communication technology, telemedicine has developed rapidly and is used widely around the world as a new mode of medical service....

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Metaverse in medicine

The emergence of the Medical Internet of Things (MIoT) has presented an opportune solution to these problems, as it provides effective technological support. Based on the current MIoT theory, it is...

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

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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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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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Emerging artificial intelligence methods for fighting lung cancer: A survey

Lung cancer has one of the highest incidence rates and mortality rates among all common cancers worldwide. Early detection of suspicious lung nodules is crucial in fighting lung cancer. In recent years,...

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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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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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