Review Article
Open Access

Progress of artificial intelligence in anesthesia and perioperative medicine

Wenhui Guo
Wenhui Guo
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Qinglai Zang
Qinglai Zang
Department of Anesthesiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
,
Bing Xu
Bing Xu
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Tianying Xu
Tianying Xu
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Zhanheng Chen
Zhanheng Chen
chenzhanheng17@mails.ucas.ac.cn
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Miao Zhou
Miao Zhou
zhoumiao@jszlyy.com.cn
Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China
Address correspondence to
Article notes
Highlights
ZhanHeng Chen, School of Anesthesiology, Second Military Medical University/Naval Medical University, 800 Xiangyin Road, Shanghai 200433, China. Tel: +86 21 81872034. E-mail: chenzhanheng17@mails.ucas.ac.cn; Miao Zhou, Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China. Tel: +86 18217567295. E-mail: zhoumiao@jszlyy.com.cn.
Received July 21, 2023; Accepted November 15, 2023; Published March 31, 2024
  • This review introduces the core concepts of artificial intelligence (AI) and describes the most commonly encountered computerized functioning of AI in anesthesiology.

  • This survey systematically presents the main clinical applications of AI in anesthesia and perioperative medicine according to the perioperative phases.

  • The advantages and disadvantages of introducing AI into the medical field are also discussed to explore the career development direction of anesthesiologists in the future.

Review Article
Open Access
Progress of artificial intelligence in anesthesia and perioperative medicine
Wenhui Guo
Wenhui Guo
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Qinglai Zang
Qinglai Zang
Department of Anesthesiology, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
,
Bing Xu
Bing Xu
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Tianying Xu
Tianying Xu
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Zhanheng Chen
Zhanheng Chen
chenzhanheng17@mails.ucas.ac.cn
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Miao Zhou
Miao Zhou
zhoumiao@jszlyy.com.cn
Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China
Address correspondence to
ZhanHeng Chen, School of Anesthesiology, Second Military Medical University/Naval Medical University, 800 Xiangyin Road, Shanghai 200433, China. Tel: +86 21 81872034. E-mail: chenzhanheng17@mails.ucas.ac.cn; Miao Zhou, Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China. Tel: +86 18217567295. E-mail: zhoumiao@jszlyy.com.cn.
Article notes
Received July 21, 2023; Accepted November 15, 2023; Published March 31, 2024
Highlights
  • This review introduces the core concepts of artificial intelligence (AI) and describes the most commonly encountered computerized functioning of AI in anesthesiology.

  • This survey systematically presents the main clinical applications of AI in anesthesia and perioperative medicine according to the perioperative phases.

  • The advantages and disadvantages of introducing AI into the medical field are also discussed to explore the career development direction of anesthesiologists in the future.

2024 Mar;2(1):1-10
PDF
On This Page
CITE
Accesses: 17

Abstract

Perioperative medicine is a series of medical activities throughout the perioperative period, including preoperative optimization, intraoperative safety, postoperative rehabilitation, and other activities. Anesthesia is closely integrated with perioperative medicine to guarantee smooth progress of operations, comfortable recovery, and favorable long-term outcome for patients. There are a huge number of clinical data in anesthesia and perioperative medicine, and artificial intelligence (AI) has a powerful ability to analyze and evaluate data; thus, applying AI is a significant advantage in analysis and prediction based on real clinical big data in anesthesia and perioperative medicine. AI has made some progress in the field of anesthesiology and perioperative medicine. This review introduces the most encountered computerized techniques of AI in anesthesiology, main clinical applications themes of AI in anesthesiology, as well as limitations and ethical implications involved in deployment of this technology.

Keywords: Anesthesia, artificial intelligence, machine learning, perioperative medicine
Perioperative Precision Medicine

ISSN: 2957-5443

Volume 2, Issue 1

March 2024

Pages: 1-35

PDF CITE Accesses: 17
Perioperative Precision Medicine
ISSN: 2957-5443
ZENTIME PUBLISHING CORPORATION LIMITED
On This Page
CITE
On This Page
Abstract