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New algorithms show accuracy, reliability in gauging unconsciousness under general anesthesia
In surgery patience, an artificial intelligence attuned to the kind of anesthetic being used can yield algorithms that assess unconsciousness in patients based on brain activity with high accuracy and reliability.
United states
Benyamin meschede krasa
Marcus badgeley
Matthew keating
Patrick purdon
Kimaya lecamwasam
David zhou
John abel
Gabriel schamberg
Emeryn brown
Edward hood taplin
Institute for medical engineering
National institutes of health
Harvard medical school
Picower institute for
Massachusetts general hospital
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