“The role of telemedicine and e-Health applications in Nursing: A systematic review of global practices (2018–2024)”
December 2026
The rapid advancement of Information Technology has significantly transformed healthcare delivery, influencing both patients and healthcare professionals. Telemedicine and e-Health applications have...
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...
Agentic AI system for generating evidence-based second medical opinions
December 2026
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
December 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...
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...
Advancing healthcare with generative AI and large language models: a systematic review of applications in medical imaging, patient communication, and global innovation
December 2026
Large language models (LLMs), Generative AI (GAI), and Generative Vision Models (GVMs) have become transformative technologies in healthcare, offering new landscapes for diagnostics, patient communication,...
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...
Attitude and perceptions of healthcare professionals towards digital health technologies: a cross-sectional study
December 2026
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....
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...
Telemedicine transitional care programs: effects on readmissions and patient experience
December 2026
•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...
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...
Association between social media use and cyberchondria during the COVID-19 pandemic: a cross-sectional study
December 2025
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...
Autonomous AI for Diabetic Retinopathy Screening: Evidence, Regulation, and Health-System Fit
December 2026
Background: Diabetic retinopathy is a preventable cause of vision loss, but screening coverage is limited when retinal imaging, expert interpretation, referral completion, and access to treatment are...
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...
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...
Usability evaluation of wearable technology: A pilot study on a smart diabetic shoe for foot care
December 2025
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...
Expert consensus on the evaluation and management of high-risk indeterminate pulmonary nodules
December 2024
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...
Healthcare 4.0: Opportunities and barriers in the implementation of medical equipment
December 2025
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...
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,...
An application to detect osteoporosis using ensemble Machine learning with hyperparameter tuning and model interpretability
December 2025
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...
Enhanced epilepsy detection using discrete wavelet transform and bandpass filtering on EEG data: integration of ART-based and LVQ models
December 2025
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...
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...
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....
Integrating Fuzzy Analytical Network Process for the risk assessment of heterogeneous IoMT devices: a comprehensive approach
December 2026
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...
“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...