Emergency Medicine

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

4,986 articles
Stay Ahead - Weekly Emergency Medicine research updates
Subscribe
Browse Categories
Subcategories: Emergency Medicine
Showing 2416-2436 of 4,986 articles
Musculoskeletal trauma imaging in the era of novel molecular methods and artificial intelligence.

Over the past decade rapid advancements in molecular imaging (MI) and artificial intelligence (AI) h...

Sep 2020 32972725
Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers.

BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on ...

Sep 2020 32928219
Convolution neural network for effective burn region segmentation of color images.

BACKGROUND: Burn injuries are one of the most severe forms of wounds and trauma across the globe. Au...

Sep 2020 33158632
Indirect visual guided fracture reduction robot based on external markers.

BACKGROUND: Traditional fracture reduction surgery cannot ensure the accuracy of the reduction while...

Sep 2020 32881221
Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain.

BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach h...

Sep 2020 32917261
Artificial intelligence in trauma systems.

Local trauma care and regional trauma systems are data-rich environments that are amenable to machin...

Sep 2020 32921479
PCR-detectable DNA exists a short period in the blood of systemic candidiasis murine model.

Invasive candidiasis is a major challenge to clinical medicine today. However, traditional fungal di...

Sep 2020 33817256
Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning.

The triage of acute stroke patients is increasingly dependent on four-dimensional CTA (4D-CTA) imagi...

Sep 2020 32920477
Knowledge-Based Decision Support in Healthcare via Near Field Communication.

The benefits of automatic identification technologies in healthcare have been largely recognized. Ne...

Aug 2020 32878204
Forty years of emergency medicine research: Uncovering research themes and trends through topic modeling.

STUDY OBJECTIVE: Topic identification can facilitate knowledge curation, discover thematic relations...

Aug 2020 33059985
Artificial Intelligence-Based Quantification of Epithelial Proliferation in Mammary Glands of Rats and Oviducts of Göttingen Minipigs.

Quantitative assessment of proliferation can be an important endpoint in toxicologic pathology. Trad...

Aug 2020 32840183
A Study of Modified Infotaxis Algorithms in 2D and 3D Turbulent Environments.

Emergency response to hazardous gases in the environment is an important research field in environme...

Aug 2020 32908473
Incessant Pericarditis With Recurrent Cardiac Tamponade as the Manifestation of Autoimmune Polyglandular Syndrome Type II.

A 23-year-old man was admitted for acute pericarditis that evolved to cardiac tamponade and shock wi...

Aug 2020 34317012
Point-of-Care Quantification of Serum Alpha-Fetoprotein for Screening Birth Defects in Resource-Limited Settings: Proof-of-Concept Study.

BACKGROUND: Maternal serum alpha-fetoprotein (MSAFP) concentration typically increases during pregna...

Aug 2020 34746648
A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses.

OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care...

Aug 2020 32795327
Closed-loop machine-controlled CPR system optimises haemodynamics during prolonged CPR.

OBJECTIVES: We evaluated the feasibility of optimising coronary perfusion pressure (CPP) during card...

Aug 2020 34223304
Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes.

In clinical trials, animal and cell line models are often used to evaluate the potential toxic effec...

Aug 2020 32780735
Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approaches.

As defined by the World Health Organization, an endocrine disruptor is an exogenous substance or mix...

Aug 2020 32778734
Browse Categories