Injury
-
We report results of a newly developed portable near-infrared spectroscopy (NIRS) based point-of-care device CEREBO® to detect traumatic intracranial hematoma (TICH). ⋯ The performance of currently tested NIRS device for detection of TICH was good and can be considered for triaging a patient requiring a CT scan of the head after injury. The NIRS device can efficiently detect traumatic unilateral hematomas as well as those bilateral hematomas where the volumetric difference is greater than 2cc.
-
Artificial intelligence (AI) is a broad term referring to the application of computational algorithms that can analyze large data sets to classify, predict, or gain useful conclusions. Under the umbrella of AI is machine learning (ML). ML is the process of building or learning statistical models using previously observed real world data to predict outcomes, or categorize observations based on 'training' provided by humans. ⋯ AI and ML are becoming cornerstones in the medical and healthcare-research domains and are integral in our continued processing and capitalization of robust patient EMR data. Considerations for the use and application of ML in healthcare settings include assessing the quality of data inputs and decision-making that serve as the foundations of the ML model, ensuring the end-product is interpretable, transparent, and ethical concerns are considered throughout the development process. The current and future applications of ML include improving the quality and quantity of data collected from EMRs to improve registry data, utilizing these robust datasets to improve and standardized research protocols and outcomes, clinical decision-making applications, natural language processing and improving the fundamentals of value-based care, to name only a few.
-
Thoracic trauma is an important cause of morbidity and mortality in children exposed to blast and early recognition of these injuries is vital. While numerous studies have investigated the sensitivity of chest X-ray (CXR) for the detection of chest injury in blunt trauma, none have evaluated its performance in paediatric blast injury. ⋯ CXR has a poor sensitivity for the identification of significant thoracic injury in children exposed to blast. We argue that, given the challenge of clinical assessment of injured children and the potential for serious adverse consequences of missed thoracic injuries, there should be a low threshold for the use of CT chest in the evaluation of children exposed to blast.