Clinical prognosis and risk factors of death for COVID-19 patients complicated with coronary heart disease/diabetes/hypertension-a retrospective, real-world study
December 2025
To explore the clinical prognosis and the risk factors of death from COVID-19 patients complicated with one of the three major comorbidities (coronary heart disease, diabetes, or hypertension) based...
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...
Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring
December 2025
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...
Factors influencing REducing Delay through edUcation on eXacerbations (REDUX) implementation: A stakeholder analysis
December 2025
REducing Delay through edUcation on eXacerbations (REDUX) shows promise in reducing exacerbation recognition and action delays for chronic lung diseases in the Netherlands. However, factors influencing...
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...
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...
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...
Sexual content in Australian crisis telehealth
December 2025
An increasing number of contacts to Australian crisis helplines include issues related to sexual wellbeing. This research is an exploratory investigation into the diversity of sexual content received...
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...
Significance of GPT-enabled LDCT lung cancer screening
December 2025
Lung cancer is a major global health threat, with China experiencing a high incidence and mortality rate and a particularly low five-year survival rate. While lung cancer screening is crucial for improving...
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...
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...
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...
Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model
December 2025
Understanding telehealth users’ acceptance is essential for ensuring effective implementation and may lead to successful, higher quality, and safer telehealth programs. Therefore, this study aimed to...
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...
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...
Association between social media use and cyberchondria during the COVID-19 pandemic: a cross-sectional study
Available online 4 November 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...
Recommending high-quality health apps: Identifying key behavioral determinants of healthcare professional behavior
Available online 2 November 2025
Healthcare professionals (HCPs) commonly see the potential of health apps to their patients, but in practice do not actively recommend this during consultation. As quality concerns have been identified...
IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease
December 2024
•Integration of IoMT with Type-2 Fuzzy Logic: The study introduces a novel integration of the Internet of Medical Things (IoMT) with Tsukamoto Type-2 Fuzzy Inference System (TT2FIS), offering a cutting-edge...
Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
December 2024
Febrile diseases are highly prevalent in tropical regions due to elevated humidity and high temperatures. These regions, mainly comprising low- and middle-income countries, often face challenges related...
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...
Research progress of MIoT and digital healthcare in the new era
December 2024
Medical Internet of Things (MIoT) and Digital healthcare have long since ceased to be separate entities. Cross-fertilisation of MIoT-based digital medical treatment models is the way forward. However,...