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Open access

ISSN: 2949-9534

Bridging the gaps: Advancing clinical informatics, data science, and global health with ICD-11

•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

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

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

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

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

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

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

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

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

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

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

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

The paper investigates the neurobiological mechanisms underlying Autism Spectrum Disorder (ASD) through the application of advanced data science techniques, including neuroimaging and computational...

Impact of GOTHOMIS on healthcare transformation in Tanzania: Insights from digital health stakeholders

Many low- and middle-income countries have invested in digital health information systems to improve service delivery, reporting, and decision-making. However, evidence on whether such systems translate...

Data privacy in EHR systems: A TCCM systematic literature review of practices in developing countries

To examine how data privacy is addressed in electronic health record (EHR) systems across developing countries using the TCCM (Theory-Context-Characteristics-Methodology) framework....

The impact analysis of digital transformation on upper-middle-class hospital performance through business model innovation

This study investigates the influence of digital transformation (DT) and resource integration (RI) on hospital performance (HP) in upper-middle-class hospitals in Indonesia, with business model innovation...

AIDA: A health informatics-oriented adaptive cybersecurity framework for clinically aware detection and response in healthcare

Healthcare organizations increasingly depend on integrated electronic health records, connected medical devices, and identity-aware clinical workflows, yet these health informatics systems remain vulnerable...

Convolutional neural networks-driven approach for human intestinal parasite egg recognition in microscopy images

Human intestinal parasitic diseases and intestinal-associated parasites represent an important public health concern in tropical countries. These infections are typically diagnosed through clinical...

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...

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...

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...

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...

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...

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...

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,...

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