Latest AI and machine learning research in emergency medicine for healthcare professionals.
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...
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring eff...
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)...
PURPOSE: The objective of this study was to predict hematoma expansion (HE) by radiomic models based...
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...
In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortali...
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...
The ability to kill infecting microbes is an essential facet of our immune response to an infection....
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...