Emergency Medicine

Interpretable Machine Learning to Anticipate the Diagnostic Yield of EEG in the Emergency department. The EMINENCE study.

INTRODUCTION: Emergent electroencephalography (emEEG) is increasingly employed in the emergency department (ED) for evaluating altered consciousness and seizure-related conditions, yet standardized criteria guiding its use remain limited. METHODS: We retrospectively analyzed 1,018 patients (mean age 66 ± 20 years; 48.4% female) undergoing emEEG at the ED of the Careggi Teaching Hospital (Florence,...

Prediction of shock-refractory ventricular fibrillation in patients with out-of-hospital cardiac arrest: external validation of an ECG-based approach.

BACKGROUND: Shock-refractory ventricular fibrillation (VF) patients can be defined as those requiring at least three defibrillation attempts. Patients with refractory VF may benefit from personalized resuscitation treatments. We sought to externally validate a previously described electrocardiogram (ECG) feature calculation and analysis strategy for predicting refractory VF in an Asian out-of-hosp...

Phenotyping and biomarkers in cardiogenic shock.

PURPOSE OF REVIEW: Cardiogenic shock (CS) remains associated with high mortality despite advances in revascularization, pharmacological therapies and ...

Automated Triage for New Keratoconus Referrals Using Multimodal Deep Learning.

PURPOSE: To develop and validate deep learning models for predicting keratoconus progression risk using multimodal imaging and clinical data, enabling...

Applications of machine learning for the general unknown screening of HRMS data within forensic toxicology.

This review is intended for forensic toxicologists and cheminformaticians seeking an understanding of the past implementations and future directions o...

Explainable prediction of MDR/RR-TB in tuberculosis-diabetes mellitus multimorbidity: a machine learning model developed and validated in a dual-center study.

BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk of multidrug-resistant/rifampicin-resistant tubercu...

Perspectives from healthcare providers and decision-makers on strategies toward a future hospital: qualitative insights from a group modelling process.

AIM: Planning for a hospital is a complex and dynamic process, traditionally not informed by evidence. A systems thinking approach can be useful in in...

Identification and verification of worst-case radiological transport scenarios for Ireland: A simulation-based approach to nuclear emergency preparedness (2011-2024).

This study presents a comprehensive simulation-based assessment of potential transboundary radiological transport to Ireland from six nuclear faciliti...

Exploring the mechanisms and management of sepsis-related cardiac dysfunction.

Sepsis-related cardiac dysfunction (SRCD) represents a critical determinant of both acute mortality and long-term cardiovascular morbidity in sepsis s...

Trehalose improves cold tolerance of Pediococcus pentosaceus OL77 and enhances low-temperature oat silage fermentation.

Low temperature remains a major bottleneck in silage fermentation, especially in cold regions and high-altitude areas. This study investigated the reg...

A review of machine learning in toxicology: current practices and reporting gaps.

In recent years, machine learning and artificial intelligence approaches have been increasingly applied in the context of toxicological risk assessmen...

Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study.

BACKGROUND: Postoperative delirium (POD) is a common and severe complication in older adult patients with hip fracture, yet its pathogenesis remains u...

Performance of a large language model on the reasoning tasks of a physician.

More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of expert medical computin...

Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review.

BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, an...

Deep Learning-Based Identification of Surgical Candidacy for Cervical Spinal Cord Decompression.

BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify...

Enhancing the forecast accuracy of the daily number of patients arrivals in emergency department by hybrid ARIMAX-ANN algorithm.

Accurate forecasting of daily arrivals in Emergency Departments (ED) is crucial for healthcare providers. This study incorporates a variety of factors...

FINS: An interactive platform for automated zebrafish image analysis and morphological screening.

MOTIVATION: Zebrafish embryo assays are increasingly recognized as a robust and scalable model for developmental toxicity screening due to embryos' op...

Systems of Care in Cardiogenic Shock: Team-Based Management, Shock Networks, and Post Discharge Pathways.

Cardiogenic shock (CS) remains the leading cause of mortality in modern cardiac intensive care unit, most often precipitated by acute or chronically d...

Early emergency department decision support for heart failure hospitalization using triage-level unstructured and structured data: a retrospective cohort study.

BACKGROUND: Early identification of patients at risk for heart failure (HF) hospitalization in the emergency department (ED) is challenging because de...

Evaluation of basic life support practice skills based on artificial intelligence technology: system construction and evaluation equivalence validation.

BACKGROUND: Basic life support (BLS) skills are the core competencies of healthcare professionals in responding to emergency situations. Traditional m...