There is a growing gap between studies describing the capabilities of artificial intelligence (AI)
diagnostic systems using deep learning versus efforts to investigate how or when to …

Prognosis of the long-term functional outcome of traumatic brain injury is essential for
personalized management of that injury. Nonetheless, accurate prediction remains unavailable. …

There is a growing body of research focusing on automatic detection of ischemia and
myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI are …

Detection and severity assessment of subdural hematoma is a major step in the evaluation
of traumatic brain injuries. This is a retrospective study of 110 computed tomography (CT) …

Background Both early detection and severity assessment of liver trauma are critical for
optimal triage and management of trauma patients. Current trauma protocols utilize computed …

OBJECTIVES: Implementing a predictive analytic model in a new clinical environment is
fraught with challenges. Dataset shifts such as differences in clinical practice, new data …

Traumatic brain injury is a serious public health problem in the US contributing to a large
portion of permanent disability. However, its early management and treatment could limit the …

Traumas and illnesses can cause injury in internal organs. The liver, being the largest
abdominal organ, is most likely to be injured by trauma. Currently CT scans are analyzed by …

Traumatic abdominal injury can lead to multiple complications including laceration of major
organs such as kidneys. Contrast-enhanced Computed Tomography (CT) is the primary …

Traumatic brain injury (TBI) is a major health and socioeconomic problem globally that is
associated with a high level of mortality. Early and accurate diagnosis and prognosis of TBI is …