Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations
September 2024
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
September 2025
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
September 2024
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...
Predicting diabetes using supervised machine learning algorithms on E-health records
March 2025
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...
Assessing the challenges to digital technology adoption in the healthcare sector: Implications for sustainability in emerging economies
September 2025
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...
Telemedicine use in rural areas of the United Kingdom to improve access to healthcare facilities: A review of current evidence
March 2025
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...
What is digital health, eHealth, uHealth and Healthcare 4.0?
September 2025
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,...
Enhancing teaching and learning in health sciences education through the integration of Bloom's taxonomy and artificial intelligence
September 2025
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
September 2025
This scientometric study investigates global trends and applications of artificial intelligence (AI) in physiotherapy, including rehabilitation, movement analysis, and telerehabilitation, between 2006...
Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation
September 2024
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...
Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model
March 2025
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...
Exploring a learning-to-rank approach to enhance the Retrieval Augmented Generation (RAG)-based electronic medical records search engines
September 2024
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...
Role of data as an interface between primary, secondary and tertiary care: Evidence from literature
March 2025
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...
Large language models driven reliable clinical decision-making: Framework and application
September 2025
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...
Performance analysis of classical and quantum support vector machines for diagnosis of chronic kidney disease
September 2025
The kidney is one of the most essential organs in our body, and any problems with it are perilous, hence, the early diagnosis of chronic kidney disease (CKD) is crucial. support vector machine (SVM),...
Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease
September 2024
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,...
Machine learning-based prediction of suicidal ideation, plans, and attempts among school-going adolescents
September 2025
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....
Evaluating ChatGPT-4o for ophthalmic image interpretation: From in-context learning to code-free clinical tool generation
September 2025
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...
Quality assessment and features of persian mobile health applications for maternity care on android platforms
September 2025
Addressing women's health has become a crucial priority across cultures. Information technology solutions, particularly mobile health applications (MHAs), offer significant opportunities to enhance...
Bridging the gaps: Advancing clinical informatics, data science, and global health with ICD-11
March 2026
•ICD-11 is WHO’s first digital-native, ontology-based classification—linking informatics, data science, and health.•Over 180 countries are already on the ICD-11 journey, with 70 in advanced rollout...
Digital transformation for sustainable healthcare education: Evaluating the impact of Moodle learning management system on ICD-11 training
March 2026
The Malaysian Ministry of Health (MOH) adopted the International Classification of Diseases Eleventh Revision (ICD-11) and used a Moodle learning management system (LMS) for clinical coder training,...
LA-TextCNN-BiLSTM: A classification model for ICD-11
March 2026
A model for ICD-11 automatic coding is proposed for the problem of ICD-11 automatic coding to further improve the coding performance....
Protein interaction prediction for Alzheimer’s disease using a multi-source protein features fusion framework
September 2025
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
March 2025
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...
The settlement mechanism of diagnosis-intervention packet payment scheme in China：A policy review and lessons learned
September 2024
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...