Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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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...

Automated spermatogenic staging in PAS-stained testes of Sprague-Dawley rats using a deep learning model for normal and atrophied tissues

The spermatogenic stage serves as a vital criterion for assessing normal spermatogenesis and is cent...

Predicting Toxicity and Bioactivity of the Chemical Exposome: A Case Study for the Blood Exposome Database

Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are dete...

Dorsolateral striatal acetylcholine reorganizes neural ensembles to anticipate threat

Adaptive behavior requires flexible encoding of emotional valence. Although striatal acetylcholine (...

Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury

Early outcome prediction after acute traumatic spinal cord injury (SCI) is challenging due to pathol...

Potential of ChatGPT in Youth Mental Health Emergency Triage: Comparative Analysis with Clinicians

Large language models (LLMs), such as GPT-4, are increasingly integrated into healthcare to support ...

Systemic Metabolic Alterations after Aneurysmal Subarachnoid Hemorrhage: A Plasma Metabolomics Approach

Aneurysmal subarachnoid hemorrhage (aSAH) causes systemic changes that contribute to delayed cerebra...

ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain...

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the brai...

Grounded large language models for diagnostic prediction in real-world emergency department settings

Emergency departments face increasing pressures from staff shortages, patient surges, and administra...

Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: a systematic review

Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired t...

Life Events Extraction From Healthcare Notes for Veteran Acute Suicide Prediction

Predictive models of suicide risk have focused on predictors extracted from structured data found in...

Designing a Substance Misuse Data Dashboard for Overdose Fatality Review Teams

Overdose Fatality Review (OFR) is a public health process in which cases of fatal overdose are caref...

Leveraging Large Language Models to Develop an Interpretable Prediction Model for Postpartum Hemorrhage Prior to the Onset of Labor

To evaluate whether large language models (LLMs) applied to prenatal clinical notes can predict post...

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