OBJECTIVE: Meaningful assessments of how large language models (LLMs) incorporate clinical guidelines require large-scale testing over many queries. Here, we evaluate the prevalence of clinical guideline omissions and hallucinations in a large sample... read more
OBJECTIVES: To evaluate whether variability in patients' communication style (personality), international English-accents (human and synthetic) and speech impairments affects the accuracy of a Clinical AI Scribe (CAIS) and identify where performance ... read more
BACKGROUND: Machine learning (ML) could improve clinical decisions in patients with possible acute heart failure, but few studies have evaluated acceptance, and barriers or facilitators that lead to clinician engagement with these tools. In a qualita... read more
Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
Apr 24, 2026
BACKGROUND: Victims of child physical abuse (CPA) disproportionately use the emergency department, yet identifying CPA remains challenging in this setting. An urgent need to develop tools that aid providers in recognising violence-related injuries in... read more
Multi-electrode recording of neuronal activity in cultures offer opportunities for understanding how the structure of a network gives rise to function. Neuronal cultures derived from human induced pluripotent stem cells (iPSCs) from male and female i... read more
Aggression may be behaviorally distinguished by reactive or appetitive properties. Here, we use a model of operant aggression administration, in which outbred male CD-1 mice lever press (contingent) or do not lever press (non-contingent) to attack an... read more
BACKGROUND: Following therapeutic advancements, recompensation has gained increasing recognition in patients on waitlist for liver transplantation (LT). Identifying key predictors of waitlist removal because of improvement can enhance prognostication... read more
The escalating crisis of antimicrobial resistance, particularly driven by ESKAPE pathogens, poses a serious threat to global public health. With the stagnant pipeline of novel antibiotic discovery, repurposing herbal extracts as antibiotic adjuvants ... read more
The accurate extraction of grain boundaries from metallographic images is a prerequisite for quantitative microstructural analysis, but it is often hindered by experimental artifacts such as noise, etching pits, scratches, and incomplete boundaries. ... read more
Accurately assessing carbon stock (CS) in arid oasis ecosystems is vital for the global carbon cycle and regional "dual carbon" goals. This study integrates field surveys, satellite imagery, climate data, machine learning, In VEST model, and the opti... read more
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