Complex Information for Anesthesiologists Presented Quickly and Clearly

Intraop, intraoperative; preop, preoperative.

Infographic created by Jonathan P. Wanderer, Vanderbilt University Medical Center, and James P. Rathmell, Brigham and Women’s Health Care/Harvard Medical School. Illustration by Annemarie Johnson, Vivo Visuals. Address correspondence to Dr. Wanderer: jonathan.p.wanderer@vanderbilt.edu.

1.
Mathis
MR
,
Kheterpal
S
,
Najarian
K
:
Artificial intelligence for anesthesia: What the practicing clinician needs to know: More than black magic for the art of the dark.
Anesthesiology
2018
;
129
:
619
22
2.
Hatib
F
,
Jian
Z
,
Buddi
S
,
Lee
C
,
Settels
J
,
Sibert
K
,
Rinehart
J
,
Cannesson
M
:
Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis.
Anesthesiology
2018
;
129
:
663
74
3.
Kendale
S
,
Kulkarni
P
,
Rosenberg
AD
,
Wang
J
:
Supervised machine learning predictive analytics for prediction of postinduction hypotension.
Anesthesiology
2018
;
129
:
675
88
4.
Lee
CK
,
Hofer
I
,
Gabel
E
,
Baldi
P
,
Cannesson
M
:
Development and validation of a deep neural network model for prediction of postoperative in-hospital mortality.
Anesthesiology
2018
;
129
:
649
62