Latest AI and machine learning research in emergency medicine for healthcare professionals.
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency M...
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency M...
Intracranial hemorrhage (ICH) becomes a crucial healthcare emergency, which requires earlier detecti...
OBJECTIVE: To search the predictive value of epilepsy secondary to acute subarachnoid hemorrhage (aS...
Hemorrhagic shock remains the leading cause of mortality in civilian trauma and battlefield settings...
BACKGROUND: Both early detection and severity assessment of liver trauma are critical for optimal tr...
Accurate segmentation of the Intracranial Hemorrhage (ICH) in non-contrast CT images is significant ...
Sudden cardiac death (SCD) accounts for approximately 15%-20% of all deaths worldwide, the causes of...
OBJECTIVE: Traumatic brain injury (TBI) disproportionately affects low- and middle-income countries ...
There has been a rise in the number of studies relating to the role of artificial intelligence (AI) ...
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...
Surgical interventions should ideally treat an existing disease curatively and achieve this with a l...
Spontaneous intracerebral hemorrhage (ICH) has high morbidity and mortality. Computed tomography (CT...
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...