A University of Cincinnati study likens machine learning detection of spreading depolarizations to recognizing ripples in a pond. The technology achieves expert-level accuracy in identifying abnormal brain signals, potentially easing neurosurgical monitoring burdens. Its precise performance in severe TBI cases suggests a promising tool for enhanced patient care.