Medicolegal

Enhancing Community-Based Nursing Decision Support: Machine Learning Models for Diabetes Risk Prediction Using Home Health Nursing Notes.

OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model using nursing notes from home health care. DESIGN: Retrospective cohort study. SAMPLE: A total 7896 medical records from 1747 patients aged ≥ 20 years who received home health care at a university hospital in South Korea over 10 years. MEASUREMENTS: The...

A birth certificate for data to improve findability, accountability, and traceability.

Data quality is the foundational to scientific research and the rapid advancement of artificial intelligence. Ensuring data quality, provenance, and reproducibility requires robust mechanisms for traceability and accountability from the moment data are created. We propose the concept of a Data Birth Certificate, a universal framework for identifying research data at creation with built-in provenan...

Multi-omics and AI-guided discovery and validation of sisomicin as a COPA-targeting agent for pathological scar inhibition.

BACKGROUND: Pathological scars, including hypertrophic scars and keloids, are fibrotic skin disorders marked by excessive collagen deposition and pers...

Linking rare variants to cell-type function in profound autism with brain transcriptomics and foundation models.

Genetic association studies have identified numerous genes harboring protein-disrupting variants in individuals with profound autism, but identifying ...

Time Savings Through an AI Speech Assistant for Nursing Documentation: Pre-Post Time-Motion Study in German Long-Term Care.

BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, contributing to administrative burden and limited t...

Measuring the quality of AI-generated clinical notes: A systematic review and experimental benchmark of evaluation methods.

High-quality clinical documentation is essential for safe and effective care, yet its production remains time consuming and prone to error. Large lang...

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and i...

Co-designing growth factors for the synthesis of (6, 5)-enriched single-walled carbon nanotube horizontal arrays.

Precise control over the diameter and chirality of single-walled carbon nanotubes (SWNTs) is critical for scalable electronic applications, yet it rem...

[Large language models as a communication and organizational infrastructure in urology: evidence, limitations, and clinical responsibility].

Large language models (LLMs) mark a structural turning point in digital medicine, as they are now capable not only of processing medical information b...

Technology Matters: Emerging technologies in clinical informatics to support child and adolescent mental healthcare safety.

Electronic health records (EHRs) can support patient safety across medical settings but require thoughtful adaptation to serve specialty care. This ar...

Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations.

Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-up, and disinvestment decisions, yet many evidentia...

CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer's disease: a state-of-the-art review.

Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by ...

Evaluating the Impact of Artificial Intelligence Scribes on Clinical Workflow and Documentation Quality: A Randomized Controlled Trial.

BACKGROUND: The adoption of artificial intelligence (AI) scribes has grown rapidly in recent years, aiming to improve clinical workflow, increase effi...

Gut microbial extracellular vesicles modulate the development of metabolic dysfunction-associated steatohepatitis through the gut-liver axis.

Metabolic dysfunction-associated steatohepatitis (MASH) represents a growing global health challenge due to its propensity to progress to irreversible...

Use of ambient AI scribe in physicians' clinical documentation: a protocol for a systematic review on effectiveness, efficiency, and satisfaction.

INTRODUCTION: Clinical documentation is a significant driver of burnout among physicians. Ambient artificial intelligence (AI) scribes, which leverage...

Artificial intelligence for tailoring complex clinical information to patients and families: A technical perspective.

CONTEXT: Effective communication of complex medical information is critical for individuals with spinal cord injury (SCI) and their families, but this...

An inventory of emergency department information systems (EDIS) in Canada: Benchmarking system functionality and technology readiness.

OBJECTIVES: Emergency Department Information Systems (EDIS) are essential digital technology used in Emergency Departments (ED). Modern EDIS provide e...

Changes in Clinician Time Expenditure and Visit Quantity With Adoption of Artificial Intelligence-Powered Scribes: A Multisite Study.

IMPORTANCE: Artificial intelligence (AI)-enabled scribes have been proposed to reduce electronic health record (EHR) burden and improve clinician sati...

Integrating multi-spectral remote sensing and machine learning for quantifying and mapping heavy metal contamination in the Tarim River Basin, China.

Heavy metal (HM) contamination in arid inland river basins is intensifying with economic development, posing ongoing ecological and public health risk...

Machine Learning-assisted Prediction of Fluid Overload and Its Nursing Implications in Patients With Acute Pancreatitis.

Fluid overload (FO) is a critical complication in acute pancreatitis (AP), contributing to prolonged hospital stays and increased mortality. Tradition...