A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
December 2023
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)
2021
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
February 2024
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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“AI et al.” The perils of overreliance on Artificial Intelligence by authors in scientific research
December 2024
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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Internet of Things in healthcare: An adaptive ethical framework for IoT in digital health
December 2024
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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Application of artificial intelligence in modern medicine
December 2023
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
2021
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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Machine learning and transfer learning techniques for accurate brain tumor classification
December 2024
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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Wearable electronic devices in the intensive care units
February 2024
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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Rehafox – A therapeutical approach developing a serious game to support rehabilitation of stroke patients using a leap motion controller
December 2023
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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Expert consensus on the metaverse in medicine
December 2022
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 of eHealth and mHealth interventions for lymphedema patients
December 2024
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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The metaverse in current digital medicine
December 2022
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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Digital mental health interventions for anxiety and mood disorders patients: A 24-week follow-up
December 2023
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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Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
December 2024
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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Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis
2021
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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Long-term effects of telemonitoring on healthcare usage in patients with heart failure or COPD
2020
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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Preliminary effects of a digital mental health intervention for depression and anxiety
December 2022
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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The influence of telemedicine on capacity development in public primary hospitals in China: A scoping review
December 2022
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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A systematic review on the use of mHealth to increase physical activity in older people
2020
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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IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease
December 2024
•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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Access barriers to care for patients with silent cerebrovascular disease (SCD) in rural China: A cross-sectional questionnaire-based study
December 2023
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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Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
2020
The aim is to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the “COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)” based on the Internet...
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Research progress of MIoT and digital healthcare in the new era
February 2024
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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