Latest AI and machine learning research in emergency medicine for healthcare professionals.
While performing musculoskeletal long bone fracture reduction surgery, assistant surgeons can often ...
BACKGROUND: Intraventricular hemorrhage (IVH) is one of the most serious neurovascular complications...
BACKGROUND AND OBJECTIVES: Postoperative pain management and early recovery play an important role i...
Spontaneous intracerebral hemorrhage (ICH) has high morbidity and mortality. Computed tomography (CT...
Surgical interventions should ideally treat an existing disease curatively and achieve this with a l...
With wide deployment of deep neural network (DNN) classifiers, there is great potential for harm fro...
A multi-attribute group decision-making (MAGDM) method based on intuitionistic fuzzy preference info...
OBJECTIVE: To investigate a rapid and effective method for the examination of coronary CTA in emerge...
Differentiating between shockable and non-shockable Electrocardiogram (ECG) signals would increase t...
AIM: We intended to provide the clinical evidence that artificial intelligence (AI) could be used to...
This paper proposes a representation learning framework HE-LSTM model for heterogeneous temporal eve...
BACKGROUND: Acute promyelocytic leukemia (APL) is considered a hematologic emergency due to high ris...
Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the s...
Burn wounds are most commonly evaluated through visual inspection to determine surgical candidacy, t...
This study presents an optimization approach for scheduling the operation room for emergency surgeri...
OBJECTIVES: Triage is an essential emergency department (ED) process designed to provide timely mana...
PURPOSE: Object classification and localization is a key task of computer-aided diagnosis (CAD) tool...
Novel properties associated with nanothermites have attracted great interest for several application...
The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global short...
Deep Learning (DL) algorithm holds great potential in the field of stroke imaging. It has been appli...
Delayed cerebral ischemia (DCI) secondary to vasospasm is a determinate of outcomes following non-tr...