Research advances technology of AI assistance for anesthesiologists
A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.
A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.
In stepping down as co-director of the Harvard-MIT Program in Health Sciences and Technology, Brown will work to develop a new center for anesthesiology research.
Neuroscientists at MIT and Massachusetts General Hospital develop a statistical framework that describes brain-state changes patients experience under ketamine-induced anesthesia.
Selective global honor supports early-career scientists and engineers in taking on new pursuits.
Machine learning software advances could help anesthesiologists optimize drug dose.
Simultaneous measurement of neural rhythms and spikes across five brain areas reveals how propofol induces unconsciousness.
Award cites major contributions to statistical analysis of brain activity and advancing the neuroscience of anesthesia.
Automated system could offer better control of patients’ brain states.
Study reveals brain patterns produced by a general anesthesia drug; work could help doctors better monitor patients.
New study reveals brain-wave patterns that mark loss of consciousness during anesthesia.
New model of neuro-electric activity could help scientists better understand quiescent brain states such as coma.
Neuroscientists find that Ritalin could help bring surgical patients out of surgery much more quickly, with less grogginess.
Neuroscientist Emery Brown hopes to shed light on a longstanding medical mystery: how general anesthesia works.