A collaborative team of clinicians, scientists, and engineers from Mount Sinai Health has developed a deep learning pose-recognition algorithm to monitor infant movement in the neonatal intensive care unit (NICU). By analyzing video feeds, this AI-based tool can track infants' movements and identify critical neurological metrics with precision. The findings, published on November 11 in Lancet's eClinicalMedicine, highlight the potential for this technology to provide a scalable and minimally invasive approach for continuous neurological monitoring in NICUs.