Most Downloaded Articles

Open access

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...

Share article

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...

Share article

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...

Share article

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...

Share article

Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks

Thyroid disease is one of the most prevalent endocrine disorders worldwide, necessitating precise and efficient diagnostic models for improved clinical outcomes. This study proposes a Hybrid Feature...

Share article

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....

Share article

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...

Share article

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,...

Share article

Advancements in digital data acquisition and CAD technology in Dentistry: Innovation, clinical Impact, and promising integration of artificial intelligence

This review examines recent advancements in digital data acquisition and CAD technology in dentistry, highlighting improvements in communication, AI integration, and predictive analytics in diagnostic...

Share article

“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...

Share article

Conversational AI with large language models to increase the uptake of clinical guidance

The rise of large language models (LLMs) and conversational applications, like ChatGPT, prompts Health Technology Assessment (HTA) bodies, such as NICE, to rethink how healthcare professionals access...

Share article

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...

Share article

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,...

Share article

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...

Share article

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....

Share article

Leveraging deep edge intelligence for real-time respiratory disease detection

Detecting respiratory diseases such as COPD, bronchiolitis, URTI, and pneumonia is crucial for early medical intervention. This study utilizes the ICBHI dataset to train and evaluate deep learning architectures...

Share article

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...

Share article

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

Share article

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...

Share article

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...

Share article

Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring

Post-bariatric hypoglycemia (PBH) is a severe and often overlooked complication of bariatric surgery (BS), characterized by dangerously low blood glucose levels after meals, particularly those high...

Share article

Securing electronic health records using blockchain-enabled federated learning for IoT-based smart healthcare

The integration of smart city applications with healthcare has revolutionized patient monitoring and medical data management. However, ensuring the privacy and security of Electronic Health Records...

Share article

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...

Share article

Personalizing nutrition and recipe recommendation using attention mechanism with an ensemble model

Nutrient management in the context of this proposed work aims to quantize the consumption of essential nutrients in an efficient format such that it leads to a healthy and balanced lifestyle. This paper...

Share article

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...

Share article

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.