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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...

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...

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...

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,...

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,...

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...

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...

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...

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....

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...

Large language models driven reliable clinical decision-making: Framework and application

With the proliferation of data and increased complexity of clinical decision-making in the medical field, powerful computational tools are needed to assist physicians in making precise and reliable...

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...

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....

Assessing the challenges to digital technology adoption in the healthcare sector: Implications for sustainability in emerging economies

The exponential population growth over the last two decades, combined with increased life expectancy, has placed unsustainable pressure on healthcare systems in emerging economies like Bangladesh. Despite...

Evaluating ChatGPT-4o for ophthalmic image interpretation: From in-context learning to code-free clinical tool generation

Large language models (LLMs) such as ChatGPT-4o have demonstrated emerging capabilities in medical reasoning and image interpretation. However, their diagnostic applicability in ophthalmology, particularly...

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...

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...

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...

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