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ISSN: 2949-9534

Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations

Health informatics is a fast-growing area in the healthcare sector. It concerns the technologies, tools, equipment, and procedures required to gather, store, retrieve, and use health data and medical...

Next-generation agentic AI for transforming healthcare

Artificial Intelligence (AI) is transforming the healthcare landscape, yet many current applications remain narrowly task-specific, constrained by data complexity and inherent biases. This paper explores...

Nursing in the Digital Age: Harnessing telemedicine for enhanced patient care

Telemedicine has emerged as a transformative force in contemporary healthcare, reshaping nursing practice across various specialties. This narrative review explored the role, challenges, and ethical...

Telemedicine use in rural areas of the United Kingdom to improve access to healthcare facilities: A review of current evidence

Rural populations in the UK face healthcare inequities despite the NHS's aim of providing universal healthcare. These disparities include restricted access, transportation challenges, and healthcare...

Predicting diabetes using supervised machine learning algorithms on E-health records

Diabetes mellitus is one of the most significant health challenges currently faced by people especially in the United States of America because of hyperglycemia. Despite recent research on predicting...

Advancing public health through artificial intelligence in physiotherapy: a bibliometric analysis

This scientometric study investigates global trends and applications of artificial intelligence (AI) in physiotherapy, including rehabilitation, movement analysis, and telerehabilitation, between 2006...

Enhancing teaching and learning in health sciences education through the integration of Bloom's taxonomy and artificial intelligence

The purpose of this research is to integrate artificial intelligence (AI) in Bloom's Taxonomy with the aim of improving critical thinking in health science education. Innovative teaching approaches...

Role of data as an interface between primary, secondary and tertiary care: Evidence from literature

The healthcare system relies on efficient data flow across primary, secondary, and tertiary care levels to ensure timely and effective patient care. However, despite the growing body of research on...

Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease

Coronary heart disease (CHD) remains a prominent cause of mortality globally, necessitating early and accurate detection methods. Traditional diagnostic approaches can be invasive, costly, and time-consuming,...

Exploring a learning-to-rank approach to enhance the Retrieval Augmented Generation (RAG)-based electronic medical records search engines

This study addresses the challenge of enhancing Retrieval Augmented Generation (RAG) search engines for electronic medical records (EMR) by learning users' distinct search semantics. The specific aim...

The settlement mechanism of diagnosis-intervention packet payment scheme in China:A policy review and lessons learned

The settlement of the medical insurance fund is the key point of the implementation of the big data diagnosis & intervention packet (DIP) under the regional global budget. This study proposed the framework...

Towards real-time interest point detection and description for mobile and robotic devices

Convolutional Neural Networks (CNNs) have been successfully adopted by state-of-the-art feature point detection and description networks for the past number of years. The focus of these systems has...

Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation

The research problem addresses the need for accurate and efficient detection of retina diseases using artificial intelligence (AI) technologies. The specific aim is to evaluate the performance, ethical...

What is digital health, eHealth, uHealth and Healthcare 4.0?

As digital health continues to evolve, the need for ongoing refinement of its terminology remains essential. A perspective piece originated from the authors' attempt to answer the seemingly simple question,...

Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model

Liver disease (LD) significantly impacts global health, requiring accurate diagnostic methods. This study aims to develop an automated system for LD prediction using machine learning (ML) and explainable...

Quality assessment and features of persian mobile health applications for maternity care on android platforms

Addressing women's health has become a crucial priority across cultures. Information technology solutions, particularly mobile health applications (MHAs), offer significant opportunities to enhance...

Protein interaction prediction for Alzheimer’s disease using a multi-source protein features fusion framework

Studying the protein interactions associated with Alzheimer’s disease can provide insights into the pathogenesis of this confounding disease. However, to date, researchers have only considered laboratory...

Analysis and Evaluation of China Annual Major Medical Innovation 2022: A Mix‐ Method Approach Study

The selection of China annual major medical innovation organized by Chinese Academy of Medical Sciences (CAMS) has attracted increasing attention from the Chinese government and all sectors of society....

Machine learning-based prediction of suicidal ideation, plans, and attempts among school-going adolescents

Suicidal ideation, plans, and attempts represent significant mental health challenges among adolescents worldwide. Early identification of adolescents at risk is critical for preventing suicidal behaviors....

Heart sound classification technique for early CVD detection using improved wavelet time scattering and discriminant analysis classifiers

PCG represents the acoustic replay of heart sounds from the cardiac structure. To detect and analyse the different conditions of the heart, heart sound signals are essential. CVD is detected by classifiers...

Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading

Glioma grading plays a pivotal role in neuro-oncology, directly influencing treatment strategies and patient prognoses. Despite its importance, traditional histopathological analysis has drawbacks,...

Technological advances in out-of-hospital care: Digital solutions, Asia Pacific experiences, and inherent challenges

The healthcare systems in the Asia-Pacific region are confronted with immense challenges due to an aging population and its rising demand for medical services. Out-of-hospital care supported by digital...

Exploring the advent of Medical 4.0: A bibliometric analysis systematic review and technology adoption insights

A rapidly evolving digital technology is revolutionising patient care and optimising healthcare processes. This research article presents a bibliometric analysis and systematic review of Medical 4.0...

Food and nutrition surveillance: Exploring facilitators and barriers to electronic registration in Brazil

Malnutrition is a leading global health challenge, worsened by dietary shifts toward the consumption of ultra-processed food. In Brazil, food and nutrition surveillance is integrated into the Primary...

Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective

Heterogeneous network-based methods are powerful analytical tools for many real-world data mining tasks in biomedical field. The specific aim of this survey is to examine the representative algorithms...

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