Latest AI and machine learning research in sexual assault for healthcare professionals.
BACKGROUND: Both early detection and severity assessment of liver trauma are critical for optimal tr...
Surgical interventions should ideally treat an existing disease curatively and achieve this with a l...
AIM: We aimed to evaluate the knowledge, attitude, and practices in the application of AI in the eme...
Analyzing and interpreting traumatic injuries is a fundamental aspect of routine forensic case work....
PURPOSE: To compare the image quality between a deep learning-based image reconstruction algorithm (...
In the last two decades, cochlear implant surgery has evolved into a minimally invasive, hearing pre...
PURPOSE: Ventilator-associated pneumonia is the most common nosocomial infection in patients with me...
Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination...
OBJECTIVE: Pediatric focused assessment with sonography for trauma (FAST) is a sequence of ultrasoun...
Autonomous intelligent systems are starting to influence clinical practice, as ways to both readily ...
BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is cr...
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health p...
What differentiates a trauma from an event that is merely upsetting? Wildly different definitions of...
Orthopaedic and trauma research is a gateway to better health and mobility, reflecting the ever-incr...
Musculoskeletal trauma accounts for a significant fraction of emergency department visits and patien...
Post-traumatic stress disorder (PTSD) is characterized by complex, heterogeneous symptomology, thus ...
BACKGROUND: Venous thromboembolism (VTE) is a common complication of hospitalized trauma patients an...
Background The interpretation of radiographs suffers from an ever-increasing workload in emergency a...
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma pati...
OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...
Admission trauma whole-body CT is routinely employed as a first-line diagnostic tool for characteriz...