Artificial Intelligence in Anesthesiology: Hype, Hope, and Hurdles
Anesth Analg
.
2020 May;130(5):1111-1113.
doi: 10.1213/ANE.0000000000004751.
Authors
Hannah Lonsdale
1
,
Ali Jalali
1
2
3
,
Jorge A Gálvez
4
5
6
,
Luis M Ahumada
1
2
3
,
Allan F Simpao
4
5
6
Affiliations
1
From the Department of Anesthesiology.
2
Department of Health Informatics, Predictive Analytics Core, Johns Hopkins All Children's Hospital, St Petersburg, Florida.
3
Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
4
Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.
5
Departments of Anesthesiology and Critical Care Medicine.
6
Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
PMID:
32287116
DOI:
10.1213/ANE.0000000000004751
No abstract available
Publication types
Editorial
MeSH terms
Anesthesiology / methods
Anesthesiology / trends*
Artificial Intelligence / trends*
Hope*
Humans
Perioperative Care / methods
Perioperative Care / trends