Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us
Crit Care Med
.
2023 Aug 1;51(8):985-991.
doi: 10.1097/CCM.0000000000005894.
Epub 2023 Apr 26.
Authors
Gabriel Wardi
1
2
,
Robert Owens
2
,
Christopher Josef
3
,
Atul Malhotra
2
,
Christopher Longhurst
4
,
Shamim Nemati
5
Affiliations
1
Department of Emergency Medicine, UC San Diego Health, University of California, San Diego, CA.
2
Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, UC San Diego Health, University of California, San Diego, CA.
3
Healcisio Inc., San Diego, CA.
4
Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA.
5
Department of Biomedical Informatics, UC San Diego Health, University of California, San Diego, CA.
PMID:
37098790
PMCID:
PMC10335736
DOI:
10.1097/CCM.0000000000005894
No abstract available
Publication types
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
MeSH terms
Artificial Intelligence*
Critical Care
Humans
Sepsis* / diagnosis
Sepsis* / therapy
Grants and funding
R01 HL157985/HL/NHLBI NIH HHS/United States
K23GM146092/NH/NIH HHS/United States
R35 GM143121/GM/NIGMS NIH HHS/United States
T32 HL134632/HL/NHLBI NIH HHS/United States
T32 HL166127/HL/NHLBI NIH HHS/United States
K23 GM146092/GM/NIGMS NIH HHS/United States
R01 AG063925/AG/NIA NIH HHS/United States
R01 LM013998/LM/NLM NIH HHS/United States
R01 HL154926/HL/NHLBI NIH HHS/United States
R01 HL148436/HL/NHLBI NIH HHS/United States