Researchers have developed an artificial intelligence algorithm capable of detecting subtle signs of consciousness in comatose patients, often before these signs are observable by doctors. The AI analyzes facial movements, identifying minute changes undetectable to the human eye but potentially clinically significant.
This “covert consciousness,” as described to Scientific American, refers to a state where patients, though appearing unresponsive, can react to stimuli through brain activity. The AI’s ability to identify these hidden signs earlier could lead to improved treatment strategies for individuals with brain injuries. The new study highlights the potential of AI in enhancing the diagnosis and care of patients with impaired consciousness.
