Emergency Medicine

An Intelligent Augmented Reality Training Framework for Neonatal Endotracheal Intubation.

Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires tremendous pr...

Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test.

BACKGROUND: The early clinical course of COVID-19 can be difficult to distinguish from other illness...

Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning.

In aneurysmal subarachnoid hemorrhage (aSAH), accurate diagnosis of aneurysm is essential for subseq...

A randomized trial of robot-based distraction to reduce children's distress and pain during intravenous insertion in the emergency department.

OBJECTIVES: Our objectives were to evaluate the effectiveness of humanoid robot-based distraction on...

Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation.

Moderate to severe leukocytosis with vasopressor use is associated with increased mortality in trauma patients.

BACKGROUND: Leukocytosis is a rise in white blood cell (WBC) count and clinical outcomes of moderate...

Association of Serum Vitamin D Levels and Stress Fractures in Collegiate Athletes.

BACKGROUND: Low vitamin D levels along with high-intensity athletic training may put an athlete at i...

Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma.

OBJECTIVES: The objective of this study was to quantitatively assess the image quality of Advanced M...

Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies.

In Tg-rasH2 carcinogenicity mouse models, a positive control group is treated with a carcinogen such...

Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.

Rodent progressive cardiomyopathy (PCM) encompasses a constellation of microscopic findings commonly...

Hip Fracture Surgery without Transfusion in Patients with Hemoglobin Less Than 10 g/dL.

BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient out...

Accurate spatiotemporal mapping of drug overdose deaths by machine learning of drug-related web-searches.

Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...

Predicting Post-Concussion Symptom Recovery in Adolescents Using a Novel Artificial Intelligence.

This pilot study explores the possibility of predicting post-concussion symptom recovery at one week...

Proposals for the use of artificial intelligence in emergency radiology.

Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction ...

Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock.

IMPORTANCE: The survival benefit of corticosteroids in septic shock remains uncertain.

Using machine learning tools to predict outcomes for emergency department intensive care unit patients.

The number of critically ill patients has increased globally along with the rise in emergency visits...

Transfer learning with chest X-rays for ER patient classification.

One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (A...

Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Sy...

A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis.

AI virtual assistants have significant potential to alleviate the pressure on overly burdened health...

Deep Learning-Based Spermatogenic Staging Assessment for Hematoxylin and Eosin-Stained Sections of Rat Testes.

In preclinical toxicology studies, a "stage-aware" histopathological evaluation of testes is recogni...