Emergency Medicine

Establishing an open and robotic pancreatic surgery program in a level 1 trauma center community teaching hospital and comparing its outcomes to high-volume academic center outcomes: a retrospective review.

BACKGROUND: The debate of whether to centralize hepato-pancreato-biliary surgery has been ongoing. T...

Machine-learning-based risk stratification for probability of dying in patients with basal ganglia hemorrhage.

To confirm whether machine learning algorithms (MLA) can achieve an effective risk stratification of...

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.

IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine ne...

Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.

BACKGROUND: In the emergency room, clinicians spend a lot of time and are exposed to mental stress. ...

Autonomous path planning for robot-assisted pelvic fracture closed reduction with collision avoidance.

BACKGROUND: Robot-assisted pelvic fracture closed reduction (RPFCR) positively contributes to patien...

A mechanics-based approach to realize high-force capacity electroadhesives for robots.

Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic sys...

Text Analysis of Radiology Reports with Signs of Intracranial Hemorrhage on Brain CT Scans Using the Decision Tree Algorithm.

UNLABELLED: is to create, train, and test the algorithm for the analysis of brain CT text reports u...

Development and validation of a mathematical model to simulate human cardiovascular and respiratory responses to battlefield trauma.

Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to ...

Machine learning-enabled nanosafety assessment of multi-metallic alloy nanoparticles modified TiO system.

Establishing toxicological predictive modeling frameworks for heterogeneous nanomaterials is crucial...

Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study.

BACKGROUND: The possible benefits of using semantic language models in the early diagnosis of major ...

Retrospective analysis and prospective validation of an AI-based software for intracranial haemorrhage detection at a high-volume trauma centre.

Rapid detection of intracranial haemorrhage (ICH) is crucial for assessing patients with neurologica...

A Pilot Machine Learning Study Using Trauma Admission Data to Identify Risk for High Length of Stay.

INTRODUCTION: Trauma patients have diverse resource needs due to variable mechanisms and injury patt...

Invited Commentary: Postoperative Artificial Intelligence Model for ICU Triage.

Artificial neural networks in contemporary toxicology research.

Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be used to ...

The synergy of synchrotron imaging and convolutional neural networks towards the detection of human micro-scale bone architecture and damage.

The growing health and economic burden of bone fractures, their intricate multiscale features and th...

Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm.

Exercise-induced pulmonary hemorrhage (EIPH) is a relevant respiratory disease in sport horses, whic...

Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines.

Aviation emissions originated from the fuel burn have been hot topics by engineers and policy-makers...

Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients.

Myocardial infarction diagnosis is a common challenge in the emergency department. In managed settin...

Robot-patient registration for optical tracker-free robotic fracture reduction surgery.

BACKGROUND AND OBJECTIVE: Image-guided robotic surgery for fracture reduction is a medical procedure...

Prediction of anemia using facial images and deep learning technology in the emergency department.

BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in t...

Overtriage, Undertriage, and Value of Care after Major Surgery: An Automated, Explainable Deep Learning-Enabled Classification System.

BACKGROUND: In single-institution studies, overtriaging low-risk postoperative patients to ICUs has ...