The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units.
Instead of being trained on text, the system is based on electroencephalogram (EEG) data, which is collected via electrodes placed on the scalp and then read out by a computer in a series of wavy lines. EEG records the brain’s electrical activity, and changes in this activity can indicate a problem. In an ICU setting, doctors scan EEG data looking for evidence of seizures, altered consciousness, or a decline in brain function.
Currently, doctors rely on continuous EEG monitoring to detect abnormal brain activity in an ICU patient, but they can’t monitor every individual patient in real time. Instead, EEG reports are typically generated every 12 or 24 hours and then analyzed to determine whether a patient is experiencing a neurological issue. It can take two to four hours to manually review a day's worth of brainwave data.
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