Emergency Medicine

Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays.

PURPOSE: To appraise the performances of an AI trained to detect and localize skeletal lesions and c...

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.

To tune and test the generalizability of a deep learning-based model for assessment of COVID-19 lung...

Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.

BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients in...

Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.

The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage predict...

Deep Learning Applications for Acute Stroke Management.

Brain imaging is essential to the clinical care of patients with stroke, a leading cause of disabili...

Simplified Transfer Learning for Chest Radiography Models Using Less Data.

Background Developing deep learning models for radiology requires large data sets and substantial co...

Application of multiple deep learning models for automatic burn wound assessment.

PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial ...

Detection of Incidental Pulmonary Embolism on Conventional Contrast-Enhanced Chest CT: Comparison of an Artificial Intelligence Algorithm and Clinical Reports.

Artificial intelligence (AI) algorithms have shown strong performance for detection of pulmonary em...

Machine Learning in the Prediction of Trauma Outcomes: A Systematic Review.

STUDY OBJECTIVE: Machine learning models carry unique potential as decision-making aids and predicti...

Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System.

BACKGROUND: With diabetes incidence growing globally and metformin still being the first-line for it...

Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers.

The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (I...

Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.

Global warming has seriously affected the local climate characteristics of cities, resulting in the ...

Editorial Comment: Progress Update on Acute Fracture Diagnosis With Artificial Intelligence.

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.

PURPOSE: The main objective of this study was to compare radiologists' performance without and with ...

Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System.

The vehicle-road collaborative information interaction system is an emerging technology system that ...

Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives.

Over the past few decades, data-driven machine learning (ML) has distinguished itself from hypothesi...

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning.

In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is u...

Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs.

OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and a...

A study on a vehicle semi-active suspension control system based on road elevation identification.

A semi-active suspension system can effectively improve vehicle ride comfort and handling stability,...

Real-time, in vivo skin cancer triage by laser-induced plasma spectroscopy combined with a deep learning-based diagnostic algorithm.

BACKGROUND: Although various skin cancer detection devices have been proposed, most of them are not ...

Robotic operations in urgent general surgery: a systematic review.

Robotically assisted operations are the state of the art in laparoscopic general surgery. They are e...