Emergency Medicine

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

5,252 articles
Stay Ahead - Weekly Emergency Medicine research updates
Subscribe
Browse Categories
Subcategories: Emergency Medicine
Showing 2059-2079 of 5,252 articles
Obstetric Hemorrhage Outcomes by Intrapartum Risk Stratification at a Single Tertiary Care Center.

Introduction Postpartum hemorrhage is a leading cause of maternal mortality worldwide. Performance o...

ADRENAL INSUFFICIENCY SECONDARY TO BILATERAL ADRENAL HEMORRHAGE ASSOCIATED WITH ANTIPHOSPHOLIPID SYNDROME.

OBJECTIVE: Antiphospholipid syndrome (APS) can involve multiple organ systems but endocrine manifest...

Efficient identification of novel anti-glioma lead compounds by machine learning models.

Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system ...

Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.

The immune response to major trauma has been analysed mainly within post-hospital admission settings...

Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method.

Skin disease is the most common problem between people. Due to pollution and deployment of ozone lay...

A validation of machine learning-based risk scores in the prehospital setting.

BACKGROUND: The triage of patients in prehospital care is a difficult task, and improved risk assess...

Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.

PURPOSE: To analyze the implementation of deep learning software for the detection and worklist prio...

Estimation of Arterial Blood Pressure Based on Artificial Intelligence Using Single Earlobe Photoplethysmography during Cardiopulmonary Resuscitation.

This study investigates the feasibility of estimation of blood pressure (BP) using a single earlobe ...

Identifying bladder rupture following traumatic pelvic fracture: A machine learning approach.

INTRODUCTION: Bladder rupture following blunt pelvic trauma is rare though can have significant sequ...

The use of machine learning techniques in trauma-related disorders: a systematic review.

Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Postt...

Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage.

Background and Purpose- Volumes of hemorrhage and perihematomal edema (PHE) are well-established bio...

Improving rare disease classification using imperfect knowledge graph.

BACKGROUND: Accurately recognizing rare diseases based on symptom description is an important task i...

A “human-proof pointy-end”: a robotically applied hemostatic clamp for care-under-fire.

Providing the earliest hemorrhage control is now recognized as a shared responsibility of all member...

An Overview of Machine Learning and Big Data for Drug Toxicity Evaluation.

Drug toxicity evaluation is an essential process of drug development as it is reportedly responsible...

Distributed deep learning across multisite datasets for generalized CT hemorrhage segmentation.

PURPOSE: As deep neural networks achieve more success in the wide field of computer vision, greater ...

Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.

Background and Purpose- Hematoma volume measurements influence prognosis and treatment decisions in ...

Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.

MOTIVATION: Emergency Departments' (ED) modern triage systems implemented worldwide are solely based...

Browse Categories