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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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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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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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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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“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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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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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...

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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...

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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...

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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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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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A survey on define daily dose of watch- and access-category antibiotics in two Indonesian hospitals following the implementation of digital antimicrobial stewardship tool

In 2023, the World Health Organization (WHO) began targeting a shift in antibiotic prescribing trends from Watch to Access category. The expected target is including 60% of antibiotic prescribing in...

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

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Development of a mobile health application for epilepsy self-management: Focus group discussion and validity of study results

Mobile health systems in the current digital era can be an opportunity for the development of health services, especially epilepsy, which is expected to help therapy management in monitoring drug therapy....

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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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A narrative review of applications and enhancements of ChatGPT in respiratory medicine

ChatGPT, a chatbot program pioneered by OpenAI and launched on 2022, stands alongside other notable large language models (LLMs) such as Google’s Bard Model and Baidu’s ERNIE Bot Model. These AI-powered...

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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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