Machine learning in anaesthesia: reactive, proactive… predictive!

Br J Anaesth. 2019 Oct;123(4):401-403. doi: 10.1016/j.bja.2019.07.009. Epub 2019 Aug 20.

Authors

Pedro L Gambus¹, Sebastian Jaramillo²

Affiliations

¹ Systems Pharmacology Effect Control & Modelling Research Group, Anaesthesiology Department, Hospital CLINIC de Barcelona, Barcelona, Spain; Neuroimmunology Research Program, Institut d'investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain.
² Systems Pharmacology Effect Control & Modelling Research Group, Anaesthesiology Department, Hospital CLINIC de Barcelona, Barcelona, Spain. Electronic address: jaramillo@clinic.cat.

PMID: 31443916
DOI: 10.1016/j.bja.2019.07.009

No abstract available

Publication types

Editorial
Comment

MeSH terms

Anesthesia*
Anesthesiology*
Electroencephalography
Healthy Volunteers
Humans
Machine Learning