Recent Articles

Open access

ISSN: 2949-9534

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,...

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...

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...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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...

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...

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...

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....

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...

Preferences, willingness, and demand among doctors in relation to internet hospital consultations: A discrete choice experiment

This study aimed to investigate physicians’ preferences in relation to Internet hospital consultations and to explore the factors influencing their choices. The study also assessed physicians’ willingness...

Understanding Medical 4.0 implementation through enablers: An integrated multi-criteria decision-making approach

Integrating advanced digital technologies into healthcare systems, known as the Medical 4.0 paradigm, has brought about a revolutionary transformation in the medical field. Thus, to incorporate these...

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