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...
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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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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...
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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...
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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 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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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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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...
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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...
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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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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...
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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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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...
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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...
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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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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,...
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Wearable dynamic electrocardiogram monitor-based screening for atrial fibrillation in the community-dwelling elderly population
December 2024
•The application of wearable dynamic ECG monitoring can improve the diagnosis rate of AF in the elderly population.•A significant proportion of elderly people living in the community had silent AF and...
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Hybrid approach of type-2 fuzzy inference system and PSO in asthma disease
December 2024
This research work presents a hybrid approach combining a type-2 fuzzy inference system with particle swarm optimization (PSO) to develop a type-2 fuzzy optimized inference system, specifically tailored...
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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...
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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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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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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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A systematic review of eHealth and mHealth interventions for lymphedema patients
December 2024
Lymphedema is a chronic inflammatory disease that causes chronic swelling in the affected area, necessitating daily treatment. Millions of people worldwide are affected. The investigation of strategies...
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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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