Latest AI and machine learning research in sexual assault for healthcare professionals.
OBJECTIVE: To review the current applications of machine learning in orthopaedic trauma and anticipa...
OBJECTIVE: To review the application and research progress of artificial intelligence (AI) technolog...
IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing...
Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing method...
OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techn...
BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following ...
AIM: To present an early warning system (EWS) that employs a supervised machine learning algorithm f...
BACKGROUND: Patients with hand trauma are usually examined in emergency departments of hospitals. Ha...
INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...
BACKGROUND: Deviation from guidelines is frequent in emergency situations, and this may lead to incr...
In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...
BACKGROUND: Rib fractures serve as both a marker of injury severity and a guide for clinical decisio...
OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induc...
OBJECTIVES: To develop and evaluate a machine learning model for predicting patient with trauma mort...
BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive....
CONTEXT.—: Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and...
To investigate the diagnostic efficacy and potential application value of deep learning-based chest...
INTRODUCTION: The ability to accurately detect hypotension in trauma patients at the earliest possib...
The increasing digitalization of social life opens up new possibilities for modern health care. This...
BACKGROUND: Trauma patients admitted to critical care are at high risk of mortality because of their...