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Materias / palabras clave: health information technology, clinical information systems, mobile health applications, ehealth systems, health it training; Medicine: Medicine (General): Computer applications to medicine. Medical informatics | Medicin...

Materias / palabras clave: artificial intelligence, machine learning based decision support, robotic surgery, laboratory information systems, medical education, bio- and clinical medicine; Medicine: Medicine (General): Computer applications to med...

Foodborne pathogen outbreaks impose a substantial and escalating burden on global public health, food systems, and economies, with the World Health Organization estimating over 600 million illness episodes and 420,000 de...

Optical brain-computer interface (OBCI) represents an emerging class of neural interaction technologies that use “light” as an information carrier to enable the acquisition, decoding, and modulation of neural signals...

With the rapid growth of electronic health records, medical imaging, and high-throughput omics data, precision oncology faces increasing demands for cross-modal information integration and complex clinical decision suppo...

The National Formulary plays a critical role in promoting rational drug use and controlling healthcare costs within Indonesia’s National Health Insurance system. Ensuring compliance with formulary restrictions, includi...

IntroductionAnti-amyloid antibodies have the potential to become the standard of care in Alzheimer’s Disease (AD) and large datasets from clinical trials allow the testing of predictive models on fluid biomarkers and f...

AimsUnderstanding atypical forms of diabetes (AD) may advance precision medicine, but methods to identify such patients are needed. We propose an electronic health record (EHR)-based algorithmic approach to identify pati...

The research investigates how cyber science education combines with healthcare technology during the digital age to resolve a fundamental research gap in these two advancing areas. A combined approach utilizing extensive...

Regulatory science governing monoclonal antibody development has undergone a profound transformation over the past decade, shifting from empiricism-driven paradigms toward evidence-efficient, mechanism-based frameworks g...

Abstract Cross-lingual information retrieval limits global exchange of data because of the high diversity in the methods to classify, document and encode medical procedures. Traditional keyword-based or single-language s...

Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization...

BackgroundA growing number of couples worldwide are seeking in vitro fertilization-embryo transfer (IVF-ET) to achieve pregnancy. However, failed IVF-ET treatment inflicts multidimensional stress on patients, involving i...

People with dementia (PwD) face cognitive decline, placing added stress on family caregivers. Challenging behaviour, such as agitation, is one of the prominent behaviours exhibited by PwD, and family caregivers are often...

Abstract BackgroundThe role of nursing informaticians is well-established in countries like the United States, Canada, and Australia, supported by competency frameworks and educational programs that enable nu...

PURPOSE: To develop and validate an automated computational tool for calculating a slice-specific volume computed tomography (CT) dose index (CTDIvol), a water-equivalent diameter (Dw), and size-specific dose estimates (...

Abstract Background In biomedical research, subjects and biospecimens are commonly tracked using simple IDs or UUIDs, which guarantee uniqueness but convey no embedded semantic information. Contextual metadata (such as t...

Abstract Background With the widespread adoption of percutaneous coronary intervention (PCI), patients experiencing acute myocardial infarction (AMI) complicated by ventricular arrhythmia (VA) continue to encounter a sig...

Abstract Although information on minor blood group antigen frequencies is limited in many low- and middle-income countries, extended red blood cell (RBC) phenotyping is crucial for reducing alloimmunization in patients u...

BackgroundPredicting enterocutaneous fistula (ECF)–associated sepsis and mortality poses significant challenges in digital health care due to the disease’s complexity and heterogeneous clinical manifestations. Curren...

Introduction: Head and Neck Squamous Cell Carcinoma (HNSCC) is among the most prevalent malignancies worldwide, with poor survival outcomes despite advances in multimodal therapy. Tumour immune evasion through the Progra...

Abstract Background As transcatheter aortic valve replacement (TAVR) becomes increasingly common, patients are seeking procedural information from Large Language Models (LLMs; AI systems trained on large text datasets to...

Abstract Background Maternal and perinatal quality collaboratives (M/PQCs) across nearly all U.S. states focus on improving health care and outcomes for birth parents and their infants. In the context of increases in mat...

ABSTRACT Background Skin cancer is one of the most prevalent malignancies worldwide, characterized by the abnormal growth of skin cells and significant clinical challenges. Conventional treatments—including surgery, ch...