Latest AI and machine learning research in emergency medicine for healthcare professionals.
Background The interpretation of radiographs suffers from an ever-increasing workload in emergency a...
BACKGROUND AND OBJECTIVE: Early hemorrhage enlargement in hypertensive cerebral hemorrhage indicates...
Nanoparticles occur in various environments as a consequence of man-made processes, which raises con...
Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administ...
Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For h...
BACKGROUND: Artificial intelligence (AI) applications are growing at an unprecedented pace in health...
Numerical simulation of wildland fire spread is useful to predict the locations that are likely to b...
In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trai...
Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process d...
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how ...
Suction during robotic surgery has traditionally been performed by a bedside assistant. Adequately ...
BACKGROUND AND PURPOSE: Randomized controlled trials have demonstrated the importance of time to end...
For decades, it has been postulated that digital pathology is the future. By now it is safe to say t...
PURPOSE: To evaluate whether a deep learning model (DLM) could increase the detection sensitivity of...
Burn is a common traumatic disease with high morbidity and mortality. The treatment of burns require...
Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as femor...
OBJECTIVE: To determine the institutional diagnostic accuracy of an artificial intelligence (AI) dec...
The current COVID-19 pandemic overloads healthcare systems, including radiology departments. Though ...
BACKGROUND: Fractures around the knee joint are inherently complex in terms of treatment; complicati...
Novel photoactive and enzymatically active nanomotors were developed for efficient organic pollutant...
OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health...