Artificial Intelligence in Perioperative Care: Opportunities and Challenges-Reference-Cited by-同舟云学术

Artificial Intelligence in Perioperative Care: Opportunities and Challenges

Published:2024-07-04 Issue:2 Volume:141 Page:379-387
ISSN:0003-3022
Container-title:Anesthesiology
language:en
Short-container-title:

Author:

Han Lichy¹,Char Danton S.²,Aghaeepour Nima³^ORCID,Grosvenor Elisabeth⁴,Hong Hyo-Jung⁵,Steffner Kirsten R.⁶,Peterson Ashley⁷,Quinonez Zoel⁸,Saffary Roya⁸,Schmiesing Cliff⁹,Gostic William J.⁷,Sun Louise Y.¹⁰,Vanneman Matthew W.⁷,Kadry Bassam⁸,Mudumbai Sesh¹¹,Gross Eric R.¹¹,Wang Ellen⁸,Xie James⁷,

Affiliation:

1. 1Department of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, California.

2. 2Department of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, California.

3. 3Department of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, California.

4. Life Science Research Professional

5. Clinical Instructor

6. Postdoctoral Scholar

7. Clinical Assistant Professor

8. Clinical Associate Professor

9. Clinical Professor

10. Professor

11. Associate Professor

Abstract

Artificial intelligence applications have great potential to enhance perioperative care. This article explores promising areas for artificial intelligence in anesthesiology; expertise, stakeholders, and infrastructure for development; and barriers and challenges to implementation.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Link

https://pubs.asahq.org/anesthesiology/article-pdf/141/2/379/711158/20240800.0-00029.pdf

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