Emergency Medicine

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

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Showing 1345-1365 of 5,236 articles
Systematic analysis of the test design and performance of AI/ML-based medical devices approved for triage/detection/diagnosis in the USA and Japan.

The development of computer-aided detection (CAD) using artificial intelligence (AI) and machine lea...

Evaluation of advanced curve speed warning system to prevent fire truck rollover crashes.

INTRODUCTION: A disproportionately high number of deadly crash-incidents involve fire-tanker rollove...

Symmetry-Aware Deep Learning for Cerebral Ventricle Segmentation With Intra-Ventricular Hemorrhage.

Cerebral ventricles are one of the prominent structures in the brain, segmenting which can provide r...

Measuring the impact of simulation debriefing on the practices of interprofessional trauma teams using natural language processing.

BACKGROUND: Natural language processing (NLP) may be a tool for automating trauma teamwork assessmen...

Prediction of Prognosis in Patients with Trauma by Using Machine Learning.

We developed a machine learning algorithm to analyze trauma-related data and predict the mortality ...

Developing Role for Artificial Intelligence in Drug Discovery in Drug Design, Development, and Safety Assessment.

Artificial intelligence (AI) is a rapidly growing discipline in the field of chemical toxicology. He...

Artificial Intelligence in Lung Imaging.

Recently, interest and advances in artificial intelligence (AI) including deep learning for medical ...

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks.

Post-hazard rapid response has emerged as a promising pathway towards resilient critical infrastruct...

Validation study of machine-learning chest radiograph software in primary and emergency medicine.

AIM: To evaluate the performance of a machine learning based algorithm tool for chest radiographs (C...

Detection of Tip-Burn Stress on Lettuce Grown in an Indoor Environment Using Deep Learning Algorithms.

Lettuce grown in indoor farms under fully artificial light is susceptible to a physiological disorde...

How do people think about the implementation of speech and video recognition technology in emergency medical practice?

BACKGROUND: Recently, speech and video information recognition technology (SVRT) has developed rapid...

Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model.

Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19 patients, redu...

Image level detection of large vessel occlusion on 4D-CTA perfusion data using deep learning in acute stroke.

OBJECTIVES: Automated image-level detection of large vessel occlusions (LVO) could expedite patient ...

Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.

BACKGROUND: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and ca...

Predictive nomogram for soft robotic hand rehabilitation of patients with intracerebral hemorrhage.

BACKGROUND: Few studies focused on the risk factors for hand rehabilitation of intracerebral hemorrh...

Automatic Detection of Cases of COVID-19 Pneumonia from Chest X-ray Images and Deep Learning Approaches.

Machine learning has already been used as a resource for disease detection and health care as a comp...

Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images.

OBJECTIVES: Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root f...

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