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...
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....
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,...
ICD-11 in global public health surveillance: Advancements in infectious disease tracking, non-communicable disease management, and antimicrobial resistance monitoring
March 2026
As medical knowledge continues to evolve, the limitations of the International Classification of Diseases, 10th Revision (ICD-10), in supporting public health surveillance and reporting have become...
Evaluating ICD-11 against established terminology standards: A dual-framework analysis
March 2026
The healthcare world is evaluating and adopting the World Health Organization’s (WHO’s) International Statistical Classification of Diseases and Related Health Problems Eleventh Revision (ICD-11) for...
Glioma survival prediction and risk stratification system based on EA-UNet segmentation and multi-modal feature extraction
March 2026
Gliomas are aggressive central nervous system tumors with high heterogeneity. Conventional survival prediction models often fail to capture correlations among multi-lesion components (“tumor-edema-necrosis”)...
A novel attention-enhanced hybrid deep learning approach for malaria diagnosis in microscopic cell images
March 2026
Malaria remains a major global public health challenge, transmitted through the bites of infected female mosquitoes. Despite progress in prevention and treatment, the disease continues to cause significant...
An Agentic AI system for disease diagnosis with explanations
March 2026
With the increasing complexities in the medical domain, the demand for autonomous, adaptable, scalable, and personalized Artificial Intelligence (AI)-based disease diagnostic systems is growing. However,...
Predicting diabetes related complications in Alberta, Canada for health jurisdictions: A machine learning prediction approach
March 2026
Diabetes-related complications pose significant burdens on healthcare systems, necessitating effective predictive tools for early intervention. In the Canadian healthcare context, leveraging population-level...
Digital technology empowerment and cognitive health: Research hotspots and trends in cognitive impairment applications
March 2026
The prevalence of cognitive impairment in aging populations has created urgent healthcare challenges, while digital technologies offer promising approaches for screening and intervention. A systematic...
Towards incorporating data-driven artificial intelligence-based tools in tuberculosis diagnosis in resource-constrained countries: A scoping review
March 2026
Tuberculosis (TB) continues to disproportionately decimate people in resource-constrained countries, despite the disease being curable and preventable. Despite several TB containment measures, such...
Optimizing in-context learning for large language models to diagnose mandibular deformities
March 2026
Diagnosing jaw deformities requires precise interpretation of cephalometric measurements, but current diagnostic methods often lack accessibility and standardization, particularly for less experienced...
Leveraging information theory to advance understanding of neurobiological mechanisms in autism spectrum disorder
March 2026
The paper investigates the neurobiological mechanisms underlying Autism Spectrum Disorder (ASD) through the application of advanced data science techniques, including neuroimaging and computational...
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...
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...
Food and nutrition surveillance: Exploring facilitators and barriers to electronic registration in Brazil
September 2025
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...
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...
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...
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...
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,...
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...
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),...
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...
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...