Sport Related Concussion

Sport-related concussion (SRC) research focuses on improving diagnostic accuracy and objectivity, particularly for female athletes who may experience different symptom presentations than males. Current efforts utilize advanced neuroimaging techniques and machine learning, including recurrent neural networks like LSTMs, to analyze data from virtual reality-based vestibular-ocular motor screenings (VOMS) and other neurophysiological measures. These approaches aim to create more reliable and standardized concussion assessments, reducing reliance on subjective symptom reporting and enabling earlier, safer return-to-play decisions. Ultimately, this research strives to improve the diagnosis, management, and prevention of SRC, leading to better athlete care and reduced long-term health risks.