Researchers found that they could detect signs of consciousness in comatose patients by using artificial intelligence to analyze facial movements that were too small to be noticed by clinicians. Their findings were published in Communications Medicine. | AI News Digest
A groundbreaking study published in Communications Medicine reveals that artificial intelligence can detect signs of consciousness in comatose patients by analyzing subtle facial movements. Researchers used a machine-learning algorithm to identify 'covert consciousness' days before clinicians could, offering hope for better patient outcomes. The AI tool, named SeeMe, tracked minute facial movements in patients given commands, documenting responses that often went unnoticed. This early detection could significantly impact treatment decisions and rehabilitation efforts. The findings suggest that some patients may be aware long before they show obvious signs of consciousness, highlighting the potential for improved communication and care.
