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ISSN: 2588-9141

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...

Agentic AI system for generating evidence-based second medical opinions

Second medical opinions play a critical role in reducing diagnostic uncertainty and supporting high-stakes clinical decision-making. However, healthcare systems often struggle to provide them in a timely...

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...

“The role of telemedicine and e-Health applications in Nursing: A systematic review of global practices (2018–2024)”

The rapid advancement of Information Technology has significantly transformed healthcare delivery, influencing both patients and healthcare professionals. Telemedicine and e-Health applications have...

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...

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...

Attitude and perceptions of healthcare professionals towards digital health technologies: a cross-sectional study

To assess healthcare professionals’ (HCPs) attitudes and perceptions towards digital health technologies (DHTs) and identify predictors of willingness to adopt DHTs in a tertiary care setting....

Telemedicine transitional care programs: effects on readmissions and patient experience

•Higher star ratings of care transitions are associated with reduced 30-day hospital readmission rates.•Patient telehealth benefits differ based on three main factors: facility, quality, and clinical...

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...

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...

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...

Association between social media use and cyberchondria during the COVID-19 pandemic: a cross-sectional study

Cyberchondria is defined as an excessive or repeated online health-related information-seeking behavior exacerbated by information overload and quarantine, resulting in amplified health anxiety. A total...

The smart and healthy city business model Canvas—A post Covid-19 resilience for smart city business modeling framework

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...

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,...

Integrating Fuzzy Analytical Network Process for the risk assessment of heterogeneous IoMT devices: a comprehensive approach

The prevalence of Internet of Medical Things (IoMT) devices has prompted rigorous risk assessment methodologies to ensure security and reliability. This study integrates the Fuzzy Analytical Network...

Healthcare 4.0: Opportunities and barriers in the implementation of medical equipment

This study investigates the opportunities and barriers in the implementation of medical equipment within the context of Healthcare 4.0, offering a comprehensive analysis based on the perspectives of...

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...

“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...

DigiCAS-HPS: A tailored digital competence assessment scale for health professions students in the post-COVID era in Vietnam

The COVID-19 pandemic has accelerated the adoption of digital health, highlighting the critical role of digital health competencies in delivering reliable and effective healthcare services. These competencies...

An application to detect osteoporosis using ensemble Machine learning with hyperparameter tuning and model interpretability

Millions of people worldwide suffer greatly from osteoporosis, a chronic bone disease marked by decreased bone mass and structural degradation. Timely intervention and therapy of osteoporosis depend...

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....

Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application

Usability evaluation of wearable technology: A pilot study on a smart diabetic shoe for foot care

Smart diabetic shoes can be essential in preventing and monitoring foot ulcers. We developed a smart diabetic shoe to monitor pressure, temperature, and humidity and send the data to patients’ phones...

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...

Enhanced epilepsy detection using discrete wavelet transform and bandpass filtering on EEG data: integration of ART-based and LVQ models

Accurate detection of epileptic seizures from EEG signals is vital for early diagnosis and treatment of epilepsy. However, EEG signals are inherently nonstationary and noisy, posing significant challenges...

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