Crossing the AI Chasm in Neurocritical Care

Despite the growing interest in possible applications of computer science and artificial intelligence (AI) field neurocritical care (neuro-ICU), widespread clinical are still missing. In neuro-ICU, collection analysis real time large datasets can play a crucial role advancing this medical improving personalized patient care. For example, AI algorithms detect subtle changes brain activity or vital signs, alerting clinicians to potentially life-threatening conditions facilitating rapid intervention. Consequently, data-driven predictive analytics greatly enhance decision making, diagnosis, treatment, ultimately leading better outcomes for patients. Nevertheless, there is significant disparity between current capabilities systems potential benefits that could be achieved with more advanced technologies. This gap usually indicated as chasm. paper, underlying causes chasm neuro-ICU analyzed, along proposed recommendations utilizing attain competitive edge, foster innovation, outcomes. To bridge divide care, it collaboration among researchers, clinicians, policymakers, focus on specific use cases. Additionally, strategic investments technology, education training, infrastructure needed unlock technology. Before implementing technology essential conduct thorough studies establish validation real-world environments ensure its effectiveness safety. Finally, development ethical regulatory frameworks mandatory secure efficient deployment throughout process.