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ISSN: 2588-9141

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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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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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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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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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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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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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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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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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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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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Short message services interventions for chronic disease management: A systematic review

The burden of chronic diseases has continued to grow globally. Technology has been used successfully in the management of chronic conditions through diagnosis, monitoring and education. This review...

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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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Welcome to the new era of metaverse in medicine

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Coronavirus disease-2019 and its current scenario – A review

Coronaviruses are enveloped non-segmented positive-sense RNA viruses belonging to the family Coronaviridae. The human coronavirus infections are mild; the epidemics of the two β-coronaviruses, severe...

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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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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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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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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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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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A large-scale clinical validation study using nCapp cloud plus terminal by frontline doctors for the rapid diagnosis of COVID-19 and COVID-19 pneumonia in China

The outbreak of coronavirus disease 2019 (COVID-19) has become a global pandemic acute infectious disease, especially with the features of possible asymptomatic carriers and high contagiousness. Currently,...

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A brief evaluation on mobile stroke Unit and mobile CT

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Artificial intelligence assisted discrimination between pulmonary tuberculous nodules and solid lung cancer nodules

The differential diagnosis between pulmonary tuberculous nodules and solid lung cancer nodules is difficult and easy to be misdiagnosed in clinic. The data of clinic and image features of Chest CT with...

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