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ISSN: 2588-9141

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...

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Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring

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

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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IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease

•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

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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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,...

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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....

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A systematic review of eHealth and mHealth interventions for lymphedema patients

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

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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Expert consensus for smoking cessation with metaverse in medicine

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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

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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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...

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Enhancing automatic early arteriosclerosis prediction: an explainable machine learning evidence

This paper proposed a machine learning (ML) model to early predict patients with arteriosclerotic heart disease (AHD). We also used model-agnostic ML approaches to find and analyze informative aspects...

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A survey on define daily dose of watch- and access-category antibiotics in two Indonesian hospitals following the implementation of digital antimicrobial stewardship tool

In 2023, the World Health Organization (WHO) began targeting a shift in antibiotic prescribing trends from Watch to Access category. The expected target is including 60% of antibiotic prescribing in...

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Development of a mobile health application for epilepsy self-management: Focus group discussion and validity of study results

Mobile health systems in the current digital era can be an opportunity for the development of health services, especially epilepsy, which is expected to help therapy management in monitoring drug therapy....

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A narrative review of applications and enhancements of ChatGPT in respiratory medicine

ChatGPT, a chatbot program pioneered by OpenAI and launched on 2022, stands alongside other notable large language models (LLMs) such as Google’s Bard Model and Baidu’s ERNIE Bot Model. These AI-powered...

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Leveraging deep edge intelligence for real-time respiratory disease detection

Detecting respiratory diseases such as COPD, bronchiolitis, URTI, and pneumonia is crucial for early medical intervention. This study utilizes the ICBHI dataset to train and evaluate deep learning architectures...

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Clinical prognosis and risk factors of death for COVID-19 patients complicated with coronary heart disease/diabetes/hypertension-a retrospective, real-world study

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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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...

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Research progress of MIoT and digital healthcare in the new era

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

•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

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

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

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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