A breakthrough study led by computational neuroscientist Sima Mofakham at Stony Brook University has developed an artificial intelligence tool called SeeMe, capable of detecting covert consciousness in comatose patients through detailed facial micro-movements. Unlike traditional neuroimaging techniques that are resource-intensive, SeeMe analyzes subtle responses to commands such as eye-opening and mouth movements, offering a scalable, non-invasive method to assess consciousness levels. This approach promises to enhance diagnostic accuracy and support decision-making for patients with traumatic brain injuries.