Emergency Medicine

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

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Predicting Portal Pressure Gradient in Patients with Decompensated Cirrhosis: A Non-invasive Deep Learning Model.

BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to...

An optimized siamese neural network with deep linear graph attention model for gynaecological abdominal pelvic masses classification.

An adnexal mass, also known as a pelvic mass, is a growth that develops in or near the uterus, ovari...

Transfer Learning With Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-Centre Data.

Machine learning and deep learning advancements have boosted Brain-Computer Interface (BCI) performa...

AI in radiology: From promise to practice - A guide to effective integration.

While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology,...

Predictive, integrative, and regulatory aspects of AI-driven computational toxicology - Highlights of the German Pharm-Tox Summit (GPTS) 2024.

The 9th German Pharm-Tox Summit (GPTS) and the 90th Annual Meeting of the German Society for Experim...

Exploring the potential of artificial intelligence models for triage in the emergency department.

OBJECTIVE: To perform a comparative analysis of the three-level triage protocol conducted by triage ...

Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac dysfunction in the emergency department.

INTRODUCTION: Cardiac point-of-care ultrasound (POCUS) can evaluate for systolic and diastolic dysfu...

Advancements and Applications of Artificial Intelligence in Pharmaceutical Sciences: A Comprehensive Review.

Artificial intelligence (AI) has revolutionized the pharmaceutical industry, improving drug discover...

Spatial patterns of rural opioid-related hospital emergency department visits: A machine learning analysis.

As opioid-related overdose emergency department visits continue to rise in the United States, there ...

Machine learning-assisted source tracing in domestic-industrial wastewater: A fluorescence information-based approach.

An emergency water pollution incident poses a significant risk to the proper functioning of wastewat...

Artificial intelligence and informatics in neonatal resuscitation.

Neonatal intensive care unit resuscitative care continually evolves and increasingly relies on data....

Real-World evaluation of an AI triaging system for chest X-rays: A prospective clinical study.

Chest X-rays (CXRs) are crucial for diagnosing and managing lung conditions. While CXR is a common a...

Analysis of ChatGPT in the Triage of Common Spinal Complaints.

BACKGROUND: ChatGPT is a natural language processing chatbot with a significant prevalence in modern...

[Possibilities of the utilization of trauma networks of the German Society for Trauma Surgery using digital solutions].

This paper describes the use of digital solutions to improve the care of trauma patients in Germany....

Identification of endocrine-disrupting chemicals targeting key OP-associated genes via bioinformatics and machine learning.

Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...

Machine learning based classification of spontaneous intracranial hemorrhages using radiomics features.

PURPOSE: To assess the efficacy of radiomics features extracted from non-contrast computed tomograph...

Using machine learning modeling to identify childhood abuse victims on the basis of personality inventory responses.

Trauma is very common and associated with significant co-morbidity world-wide, particularly PTSD and...

Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations.

Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI ...

Predicting Intra- and Postpartum Hemorrhage through Artificial Intelligence.

: Intra/postpartum hemorrhage stands as a significant obstetric emergency, ranking among the top fiv...

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