Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean...
BACKGROUND: Patients with Crohn's disease (CD) frequently undergo abdominopelvic computed tomography...
BACKGROUND AND PURPOSE: Outcome prediction after aneurysmal subarachnoid hemorrhage (aSAH) is challe...
Vertebral compression fracture is a deformity of vertebral bodies found on lateral spine images. To ...
New Approach Methodologies (NAMs) that employ artificial intelligence (AI) for predicting adverse ef...
There are currently 85,000 chemicals registered with the Environmental Protection Agency (EPA) under...
The 3Rs concept, calling for replacement, reduction and refinement of animal experimentation, is rec...
In this work, we aim to construct a new behavior analysis method by using machine learning. We used ...
BACKGROUND AND PURPOSE: Accurate prehospital diagnosis of stroke by emergency medical services (EMS)...
Computational methods such as machine learning approaches have a strong track record of success in p...
Smart medical care is user-centric, medical information is the main line, and big data, Internet of ...
Indexed literature (from 2015 to 2020) on artificial intelligence (AI) technologies and machine lear...
BACKGROUND: Lying on the floor for a long period of time has been described as a critical determinan...
Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts...
Tele-critical care (TCC) is a health care delivery model that connects medical information, interpro...
Orthopaedic and trauma research is a gateway to better health and mobility, reflecting the ever-incr...
OBJECTIVES: Rapid communication of CT exams positive for pulmonary embolism (PE) is crucial for time...
African swine fever virus (ASFV) causes a highly contagious and severe hemorrhagic viral disease wit...
It is widely appreciated that the spectrum of traumatic brain injury (TBI), mild through severe, con...
The purpose of this study was to examine the effect of the COVID-19 pandemic on customer-robot engag...
The accurate identification of irreversible infarction and salvageable tissue is important in planni...