Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.

Background: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to determine the theoretical performance of ML in augmenting AKI recognition.

High-Dose Ascorbic Acid for Burn Shock Resuscitation May Not Improve Outcomes.

High dose ascorbic acid (HDAA) has been touted to ameliorate inflammation and reduce fluid requirements during burn shock resuscitation (BSR). Whether this leads to improved outcomes is not known. The authors' aim for this study was to compare ventilator days, ventilator-associated pneumonia, and mortality between patients who did and did not receive HDAA during BSR.

Development of novel smart device based application for serial wound imaging and management.

Burn wound photography has diverse clinical applications; however, inherent technological limitations mitigate its utility. Limitations include lack of quality control, serial imaging, complexity, and expense. With the performance gap between smart devices and digital cameras rapidly narrowing, and computing performance increasing, smart devices are poised to uniquely address these limitations and enhance the field of wound photography.