Emergency Medicine

Rational design of low-risk and high-efficiency β-triketone herbicide alternatives via integrative computational toxicology and NGBoost modeling.

β-Triketone herbicides (bTHs) are widely applied in crops such as maize, rice, and sorghum. However, their efficacy on some gramineous weeds is limited, and concerns over their persistence and toxicity are rising. In this study, a comprehensive evaluation framework integrating Box-Cox transformation and coefficient of variation methods was developed to simultaneously characterize herbicidal effica...

Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study.

BACKGROUND: Laboratory testing is a cornerstone of diagnostic decision-making in emergency departments (EDs), yet its overuse contributes substantially to unnecessary health care costs and inefficiencies. Predictive approaches that leverage electronic health record data may help optimize and guide more appropriate test use. OBJECTIVE: This study aims to develop and evaluate machine learning models...

Artificial intelligence for detecting subtle paediatric tibial fractures in children under three years: An analysis of YOLO architectures with convolutional Block attention.

INTRODUCTION: Subtle tibial fractures in children under three are frequently missed, particularly in cases of suspected physical abuse. Early, accurat...

Loneliness and social isolation at the emergency department: a scoping review protocol.

INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare...

Explainable AI for diabetic retinopathy detection using vision transformers.

The heterogeneous acquisition, variability of orientation, and subtle lesions continue to challenge the screening of diabetic retinopathy through colo...

Bone morphology as a significant risk factor for anterior cruciate ligament injury.

Anterior cruciate ligament (ACL) injury is a prevalent sports-related trauma with significant impact on both professional athletes and young individua...

Predicting Aquatic Species Sensitivity Distributions Using Machine Learning in a Regulatory Setting.

The assessment of chemical risks is increasingly challenged by insufficient toxicological data available for the large number of marketed substances. ...

Hazard-portfolio patterns in US food recall severity reveal transferable pathogen signals and firm-specific compliance signals.

The U.S. FDA classifies food recalls into three severity tiers (Class I / II / III), a decision that drives public notification urgency and regulatory...

Data After Death: Post-Mortem Ethics of Burn Patient Records and Images.

Burn care frequently relies on extensive documentation, including graphic photographic images and detailed clinical records. While these materials are...

seekrflow: Towards an End-to-End Automated Simulation Pipeline with Machine-Learned Force Fields for Accelerated Drug-Target Kinetic and Thermodynamic Predictions.

Accurate prediction of drug-target binding and unbinding kinetics and thermodynamics is essential for guiding drug discovery and lead optimization. Ho...

Improving Trauma Triage Accuracy with Large Language Models: A Comparison to Human Expert Decisions.

BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and system efficiency. Advancements in large language...

Tailoring silicone mixtures for soft robotics: predictive modeling and experimental validation in pneumatic soft actuators.

The development of soft robotics hinges on the ability to tailor material properties to meet specific application requirements. This study investigate...

Cell-specific multi-target mechanisms of cotinine in cervical cancer oncogenesis and progression.

BACKGROUND: Cervical cancer is the fourth most common malignant tumor in women globally, with tobacco smoke being a major environmental risk factor. T...

Validation of Artificial Intelligence in Detecting Acute Cervical Spine Fractures on CT.

BACKGROUND: Cervical spine fractures require prompt and accurate diagnosis to minimize risk of long-term neurological impairment. Artificial intellige...

Radiomics-driven prediction of postoperative infection risk in maxillofacial fractures: multidimensional risk factor analysis and model construction based on absorbable plate fixation.

OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate predi...

Multiagent First-Person Perspective Analysis for Leadership Assessment in Pediatric Emergency Simulations: A Feasibility Study.

BACKGROUND: Conventional leadership assessments provide structured ratings but offer limited observer-independent metrics. Because leadership and team...

Economic Impact of a Deep Learning Algorithm for Automated Head and Neck Surgery Referral Triage.

OBJECTIVE: To quantify the comprehensive financial impact from implementing a deep learning algorithm for assistive patient triage within a high-volum...

MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxins.

Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflo...

Medical Scribe and Ambient Artificial Intelligence Impact on Emergency Physician Documentation Burden and Clinical Productivity.

STUDY OBJECTIVE: Emergency physicians experience substantial documentation burden, contributing to physician burnout. Human scribes reduce documentati...

Transcending Structural Dependencies: A Tunable Mass Spectrometry-Driven Machine Learning Framework for Genotoxicity Prediction.

The escalating global challenge of genotoxic compounds (GCs) in environmental, pharmaceutical, and food contexts necessitates analytical approaches th...