Supervised deep learning shown to enable more accurate delirium detection
The first proof-of-concept pilot study with a limited-lead, rapid-response electroencephalogram medical device, which measures the electrical activity of the brain, and Vision Transformer, a supervised deep learning method, detected changes associated with delirium before the onset of symptoms – when patients are more receptive to treatment. WHY IT MATTERS According to the study by lead