Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know-Reference-Cited by-同舟云学术

Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know

Published:2018-10-01 Issue:4 Volume:129 Page:619-622
ISSN:0003-3022
Container-title:Anesthesiology
language:en
Short-container-title:

Author:

Mathis Michael R.¹,Kheterpal Sachin¹,Najarian Kayvan¹

Affiliation:

1. From the Departments of Anesthesiology (M.R.M., S.K.); Computational Medicine and Bioinformatics (K.N.); and Emergency Medicine (K.N.), University of Michigan Health System, Ann Arbor, Michigan.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

Link

http://pubs.asahq.org/anesthesiology/article-pdf/129/4/619/385806/20181000_0-00007.pdf

Reference12 articles.

1. Simonite T : Facebook creates software that matches faces almost as well as you do.Available at: https://www.technologyreview.com/s/525586/facebook-creates-software-that-matches-faces-almost-as-well-as-you-do. Accessed July 5, 2018

2. Matacic C : Google’s new translation software is powered by brainlike artificial intelligence.Available at: http://www.sciencemag.org/news/2016/09/google-s-new-translation-software-powered-brainlike-artificial-intelligence. Accessed July 5, 2018

3. Development and validation of a deep neural network model for prediction of postoperative in-hospital mortality.;Anesthesiology,2018

4. Supervised machine-learning predictive analytics for prediction of postinduction hypotension.;Anesthesiology,2018

5. Machine-learning algorithm to predict hypotension based on high-fidelity arterial pressure waveform analysis.;Anesthesiology,2018

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