Emergency Medicine

Reaffirming Bedside Shock Recognition through Machine-Learning Refinement.

Tegmental kappa-opioid receptor neurons modulate opioid withdrawal via the periaqueductal gray.

Opioid withdrawal is a common and distressing manifestation of opioid dependence which, if left untreated, frequently results in relapse, accidental overdose, and suicide. While much is known about the role of mesolimbic and mesocortical dopaminergic neurons in mu opioid receptor-mediated reward, much less is understood about the impact of chronic opioid use on parallel aversive pathways mediated ...

Derivation and validation of a clinical prediction score for ICU utilization at trauma intake.

BACKGROUND: Delayed admission to the intensive care unit (ICU) after trauma can lead to tripling of in-hospital mortality. Accurate ICU resource predi...

PreLora: A fine-tuning approach with low-rank matrix decomposition and prefix tuning for pre-hospital emergency text classification.

OBJECTIVE: With expanding applications of artificial intelligence technology in the medical field, Large Language Models (LLMs) have achieved substant...

Combined Modeling Approaches for Assessing Sodium-Iodide Symporter Inhibition.

The sodium-iodide symporter (NIS, SLC5A5) plays a crucial role in thyroid hormone synthesis. Especially during brain development, correct thyroid sign...

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

OBJECTIVES: To quantify fetal brain maturation in fetuses with early-onset fetal growth restriction (FGR) by estimating gestational age (GA) based on ...

High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.

Understanding the behavioral and morphological dynamics of moving model organisms like the zebrafish larvae requires accurate, high-throughput 3D anal...

Point-of-care ultrasound in the modern era of emergency medicine: a narrative review of the recent literature.

PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing a noninvasive, accessible, repeatable, efficient, ...

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

As artificial intelligence tools become increasingly integrated into emergency department workflows, healthcare providers face a growing risk of legal...

Multimodal AI for automated resuscitation debriefing: Feasibility of timeline reconstruction using commercially available tools.

WHAT WAS THE EDUCATIONAL CHALLENGE?: Resuscitation debriefing requires accurate timeline reconstruction for effective team learning. Standard document...

Effects of Image Degradation on Deep Neural Network Classification of Scaphoid Fracture Radiographs: Comparison Study of Different Noise Types.

BACKGROUND: Deep learning models have shown strong potential for automated fracture detection in medical images. However, their robustness under varyi...

Machine learning-enabled prediction of hemorrhagic transformation post-thrombectomy using quantitative DSA.

This study aims to construct a predictive model for post-thrombectomy hemorrhagic transformation (HT) by integrating hemodynamic features derived from...

Integrated network toxicology, machine learning, and bioinformatics analysis reveals sodium dehydroacetate-induced coagulation dysfunction in colorectal cancer.

Coagulation dysfunction, a common hematologic disorder with unclear pathogenesis, is influenced by environmental factors. Sodium dehydroacetate (SDA),...

Prehospital transfusion strategies in haemorrhagic shock.

BACKGROUND: Massive transfusion protocols are established in-hospital practices for managing haemorrhagic shock, yet critical bleeding accounts for up...

A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health.

PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery mod...

Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine.

BACKGROUND: This study aimed to demonstrate the feasibility of using computer vision (CV) to unobtrusively extract body motion metrics from videos of ...

Clinical and economic impact of deep learning-enhanced opportunistic osteoporosis screening using chest radiographs with and without the osteoporosis self-assessment tool for Asians (OSTA).

UNLABELLED: Opportunistic analysis of chest radiographs with deep learning detects osteoporosis cost-effectively in women aged ≥ 50 years in Singapore...

[Artificial intelligence in spinal surgery: current applications and future perspectives].

BACKGROUND: Spinal surgery is a highly complex field increasingly shaped by digital innovation. Artificial intelligence (AI) and machine learning (ML)...

Temperature-Dependent Infrared Engineering for Extreme Environments: All-Dielectric Thermal Photonic Metamaterials Stable at 1873 K in Air.

The development of infrared engineering technologies for extreme environments remains a formidable challenge due to the inherent trade-offs among opti...

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning.

Neonatal prematurity leads to considerable morbidity and mortality, partly because of acquired conditions such as bronchopulmonary dysplasia (BPD), in...