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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Post pandemic analysis on comprehensive utilization of telehealth and telemedicine
December 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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Advancements in digital data acquisition and CAD technology in Dentistry: Innovation, clinical Impact, and promising integration of artificial intelligence
December 2025
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...
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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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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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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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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks
December 2025
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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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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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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Securing electronic health records using blockchain-enabled federated learning for IoT-based smart healthcare
Available online 17 April 2025
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...
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Personalizing nutrition and recipe recommendation using attention mechanism with an ensemble model
December 2025
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...
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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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The smart and healthy city business model Canvas—A post Covid-19 resilience for smart city business modeling framework
December 2025
Cities must adopt clever solutions to address the health issues brought on by the COVID-19 pandemic and challenging population growth, as well as to meet the economic, social, and environmental concerns...
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Conversational AI with large language models to increase the uptake of clinical guidance
December 2024
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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An interpretable machine learning model to predict hospitalizations
December 2025
•Established favorable ML performance in predicting hospitalization cases.•Used a dataset during a pandemic era as a case study to predict hospitalization.•Employed interpretability to explain the key...
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Wearable electronic devices in the intensive care units
December 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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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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A developed MEDICAL+ and MEDICAL PLUS+ for Tele patient care web applications
December 2023
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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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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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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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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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
December 2024
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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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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