Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Although prediction of hospital readmissions has been studied in medical patients, it ha...
INTRODUCTION: There is consistent evidence that the workload in general practices is substantially i...
The early accurate diagnosis of burn depth is of great significance in determining the corresponding...
Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack co...
Inferior myocardial infarction is an acute ischemic heart disease with high mortality, which is easy...
The volume of pelvic hematoma at CT has been shown to be the strongest independent predictor of majo...
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-l...
To assess whether application of a support vector machine learning algorithm to ancillary data obtai...
Objective To analyze the differences among electrical damage, burns and abrasions in pig skin using ...
Machine learning-based early warning systems (EWSs) can detect clinical deterioration more accuratel...
OBJECTIVE: Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emerg...
Acute traumatic coagulopathy (ATC) is an extremely common but silent murderer; this condition presen...
After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtain...
Septic shock, known as the most severe complication of sepsis, is a serious medical condition that c...
OBJECTIVE: Emergency departments (EDs) continue to pursue optimal patient flow without sacrificing q...
Rivastigmine is a non-competitive reversible inhibitor of acetylcholinesterase which is approved as ...
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predi...
BACKGROUND: Artificial-intelligence algorithms derive rules and patterns from large amounts of data ...
OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic s...
From initial human papillomavirus (HPV) infection and precursor stages, the development of cervical ...
We present in this paper the application of deep convolutional neural networks (CNNs), which is a st...