Researchers at Stony Brook University developed SeeMe, an artificial intelligence system analyzing minute facial movements from video recordings to detect consciousness in patients clinically diagnosed as comatose. By tracking responses to commands such as eye opening or mouth movements invisible to clinicians, SeeMe identified signs of covert consciousness in a majority of subjects. This cost-effective and accessible tool could transform diagnostics and care pathways for patients with traumatic brain injury, circumventing the limitations of conventional neuroimaging.