Domestic Violence

Traumatic Inflammatory-Coagulation Coactivation Occurs Early After Injury and Impacts Mortality.

OBJECTIVES: Acute traumatic coagulopathy is known to occur early following severe injury. However, the role and impact of both pro- and anti-inflammatory cytokines are unknown. We aimed to investigate the inflammatory (pro- and anti-inflammatory cytokines) and coagulation pathways following injury and their relation to 30-day mortality. DESIGN: Patients included in this analysis had complete data ...

Targeted screening for heart failure in primary care: evidence, challenges and a pathway-first approach to implementation.

INTRODUCTION: Heart failure remains a leading cause of morbidity and mortality, yet diagnosis continues to occur late in routine practice, frequently during emergency hospitalization. Primary care is well positioned to detect heart failure earlier, but indiscriminate screening approaches have not delivered timely diagnosis at scale. This has prompted growing interest in targeted screening strategi...

AI as a Safety-Net Reader for Mammograms Classified as Normal or Benign in the French Screening Program.

In the French national breast cancer screening program, second reading is performed only for mammograms interpreted as negative (BI-RADS 1-2) at first...

Gene-Environment Interactions in Predicting Self-Harm: A Machine Learning Approach Using Explainable Artificial Intelligence.

BACKGROUND: Self-harm is a critical public health concern; nevertheless, the complex interplay between genetic predispositions and environmental facto...

Beyond Time Saved: Implementation, Equity, and the Utility Threshold for Nursing AI Scribes.

Schwabe et al's pre-post time-motion study of a domain-specific artificial intelligence (AI) speech assistant used by nurses in German long-term care ...

Descriptor-guided thermodynamic screening of [Formula: see text] adsorption on single-atom-doped anatase [Formula: see text] nanoparticles with interpretable machine learning.

Understanding how surface dopants tune [Formula: see text] adsorption on oxide nanoparticles is important for the design of reversible hydrogen-storag...

MMTC-Net: Multimodal Temporal Cervical Network for HSIL+ Recognition in Precancer Screening.

Cervical precancer screening is essential for reducing disease-related mortality. In colposcopic practice, clinicians jointly assess dynamic acetic-ac...

Deepfake perpetrator conversation for adults with sexual abuse-related posttraumatic stress disorder: intervention development and multiple baseline study protocol.

Background: A conversation between a victim and a perpetrator of sexual abuse has the potential to reduce posttraumatic stress disorder (PTSD) symptom...

Artificial intelligence in population-based cancer screening: evidence from a national survey of Italian professionals.

BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under e...

Next generation risk assessment and new approach methodologies for sustainable management of heavy metal contaminated environments: A critical review.

Environmental stability forms the foundation for sustaining healthy ecosystems and protecting human life, but the relentless accumulation of persisten...

Machine learning-driven high-throughput screening of electrocatalysts and electrolytes for electrochemical surfaces and interfaces.

Machine learning (ML) establishes a new paradigm for electrocatalyst and electrolyte research by coupling high-throughput screening (HTS) with a data-...

A Multistage Virtual Screening Strategy Integrating Molecular Similarity, Deep Learning Scoring, and Molecular Docking toward the Discovery of Novel LRRK2 Inhibitors.

Leucine-rich repeat kinase 2 (LRRK2) has emerged as an attractive molecular target for Parkinson's disease therapeutics. To discover novel and potent ...

Differences in Safety Risks Across Languages in Health-Relevant Queries: Vulnerability Analysis of Large Language Model Responses.

BACKGROUND: Large language models (LLMs) such as ChatGPT are increasingly used to support health-related queries and decision-making. However, these m...

A visual analysis of the research dynamics of biomarkers for lung cancer screening.

BACKGROUND: Non-invasive biomarkers offer potential to improve risk stratification and early diagnosis of lung cancer, complementing low-dose computed...

[From PubMed to GPT: a narrative review of the emerging role of Large Language Models in systematic reviews].

OBJECTIVE: Systematic reviews are a cornerstone of evidence-based medicine but remain time-consuming and prone to human error. Large Language Models (...

Effects of peripheral nerve damage on promoting maladaptive plasticity in the spinal cord and brain.

Peripheral nerves can acquire damage through trauma, demyelinating diseases, inflammatory or immune-mediated insults, cancer, metabolic disorders, med...

[Clinical practice guidelines for the application of intelligent technology in spinal surgery (2026 edition)].

In response to the challenges of insufficient precision and limited safety associated with traditional techniques in the diagnosis and treatment of co...

AI-Supported, Integrative Prediction of Postoperative Delirium: Protocol for the CONFUSED Study.

BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older surgical patients, characterized by acute cognitive dysfuncti...

Extended reality and emerging artificial intelligence in orthopedic surgical training: a scoping review of educational outcomes.

Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reali...

Cost-effectiveness of artificial intelligence interventions for musculoskeletal disorders of the spine: a systematic review.

Musculoskeletal disorders (MSDs) represent a substantial global health burden, and artificial intelligence (AI)-based technologies are emerging as pot...