Emergency Medicine

Letter re: "Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says It's Ready for Prime Time".

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis.

Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's deadlies...

Development and optimization of AI algorithms for wrist fracture detection in children using a freely available dataset.

INTRODUCTION: In the field of pediatric trauma computer-aided detection (CADe) and computer-aided di...

Preterm Birth: Screening and Prediction.

Preterm birth (PTB) affects approximately 10% of births globally each year and is the most significa...

Applications of Artificial Intelligence in Helicopter Emergency Medical Services: A Scoping Review.

OBJECTIVE: Recent systematic reviews of acute care medicine applications of artificial intelligence ...

A Hybrid Model for 30-Day Syncope Prognosis Prediction in the Emergency Department.

Syncope is a challenging problem in the emergency department (ED) as the available risk prediction t...

A method of bedside urethrography before catheterization in pelvic trauma in Korea: a case report.

We introduce a convenient method of urethrography before catheterization for patients with pelvic tr...

Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage.

OBJECTIVE: To investigate how missing data in the patient problem list may impact racial disparities...

Unexpectedly Prolonged Serotonin Syndrome and Fatal Complications Following a Massive Overdose of Paroxetine Controlled-Release.

Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can b...

Utility of an Artificial Intelligence Language Model for Post-Operative Patient Instructions Following Facial Trauma.

STUDY DESIGN: Qualitative Descriptive Study.

Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis.

OBJECTIVES: Scaphoid fractures are usually diagnosed using X-rays, a low-sensitivity modality. Artif...

Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multicenter Retrospective Study.

OBJECTIVES: We aimed to develop a computer-aided detection (CAD) system to localize and detect the m...

Applications of natural language processing at emergency department triage: A narrative review.

INTRODUCTION: Natural language processing (NLP) uses various computational methods to analyse and un...

MulCNN-HSP: A multi-scale convolutional neural networks-based deep learning method for classification of heat shock proteins.

Heat shock proteins (HSPs) are crucial cellular stress proteins that react to environmental cues, en...

Retracted: Computed Tomography Images under Artificial Intelligence Algorithms on the Treatment Evaluation of Intracerebral Hemorrhage with Minimally Invasive Aspiration.

[This retracts the article DOI: 10.1155/2022/6204089.].

Comparison of Bone-setting Robots and Conventional Reduction in the Treatment of Intertrochanteric Fracture: A Retrospective Study.

OBJECTIVE: Intertrochanteric fracture of the femur is a common fracture in older people. Due to the ...

Commercially available artificial intelligence tools for fracture detection: the evidence.

Missed fractures are a costly healthcare issue, not only negatively impacting patient lives, leading...

Traumatic rib fracture patterns associated with bone mineral density statuses derived from CT images.

BACKGROUND: The impact of decreased bone mineral density (BMD) on traumatic rib fractures remains un...

Predictive value of preoperative Fried Frailty Phenotype assessment and serum biomarkers on the prognosis of elderly patients with femoral neck fracture under general anesthesia within 3 months after surgery.

BACKGROUND/AIM: Femoral neck fracture (FNF) seriously impact the health of the elderly and affect th...

Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage.

OBJECTIVE: The manual recording of electronic health records (EHRs) by clinicians in the emergency d...

Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health.

The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catas...