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Attitudes of Anesthesiologists toward Artificial Intelligence in Anesthesia: A Multicenter, Mixed Qualitative-Quantitative Study.

作者信息

Henckert David, Malorgio Amos, Schweiger Giovanna, Raimann Florian J, Piekarski Florian, Zacharowski Kai, Hottenrott Sebastian, Meybohm Patrick, Tscholl David W, Spahn Donat R, Roche Tadzio R

机构信息

Institute of Anaesthesiology, University and University Hospital of Zurich, 8091 Zurich, Switzerland.

Department of Anaesthesiology, Intensive Care and Pain Medicine, Frankfurt University Hospital, 60590 Frankfurt am Main, Germany.

出版信息

J Clin Med. 2023 Mar 7;12(6):2096. doi: 10.3390/jcm12062096.


DOI:10.3390/jcm12062096
PMID:36983099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10054443/
Abstract

Artificial intelligence (AI) is predicted to play an increasingly important role in perioperative medicine in the very near future. However, little is known about what anesthesiologists know and think about AI in this context. This is important because the successful introduction of new technologies depends on the understanding and cooperation of end users. We sought to investigate how much anesthesiologists know about AI and what they think about the introduction of AI-based technologies into the clinical setting. In order to better understand what anesthesiologists think of AI, we recruited 21 anesthesiologists from 2 university hospitals for face-to-face structured interviews. The interview transcripts were subdivided sentence-by-sentence into discrete statements, and statements were then grouped into key themes. Subsequently, a survey of closed questions based on these themes was sent to 70 anesthesiologists from 3 university hospitals for rating. In the interviews, the base level of knowledge of AI was good at 86 of 90 statements (96%), although awareness of the potential applications of AI in anesthesia was poor at only 7 of 42 statements (17%). Regarding the implementation of AI in anesthesia, statements were split roughly evenly between pros (46 of 105, 44%) and cons (59 of 105, 56%). Interviewees considered that AI could usefully be used in diverse tasks such as risk stratification, the prediction of vital sign changes, or as a treatment guide. The validity of these themes was probed in a follow-up survey of 70 anesthesiologists with a response rate of 70%, which confirmed an overall positive view of AI in this group. Anesthesiologists hold a range of opinions, both positive and negative, regarding the application of AI in their field of work. Survey-based studies do not always uncover the full breadth of nuance of opinion amongst clinicians. Engagement with specific concerns, both technical and ethical, will prove important as this technology moves from research to the clinic.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/6fa2953a7d30/jcm-12-02096-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/f6b3babc9cdf/jcm-12-02096-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/a2086086fa48/jcm-12-02096-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/6fa2953a7d30/jcm-12-02096-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/f6b3babc9cdf/jcm-12-02096-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/a2086086fa48/jcm-12-02096-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b15/10054443/6fa2953a7d30/jcm-12-02096-g002.jpg

相似文献

[1]
Attitudes of Anesthesiologists toward Artificial Intelligence in Anesthesia: A Multicenter, Mixed Qualitative-Quantitative Study.

J Clin Med. 2023-3-7

[2]
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[3]
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[7]
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[10]
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引用本文的文献

[1]
Barriers to and facilitators of clinician acceptance and use of artificial intelligence in healthcare settings: a scoping review.

BMJ Open. 2025-4-15

[2]
Artificial intelligence and telemedicine in the field of anaesthesiology, intensive care and pain medicine: A European survey.

Eur J Anaesthesiol Intensive Care. 2023-8-10

[3]
Perspectives toward the application of Artificial Intelligence in anesthesiology-related practices in Saudi Arabia: A cross-sectional study of physicians views.

Health Sci Rep. 2024-10-14

[4]
Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey.

Front Digit Health. 2024-9-3

[5]
Artificial Intelligence in Perioperative Care: Opportunities and Challenges.

Anesthesiology. 2024-8-1

本文引用的文献

[1]
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence.

Artif Intell Med. 2021-11

[2]
Artificial intelligence in paediatric radiology: international survey of health care professionals' opinions.

Pediatr Radiol. 2022-1

[3]
Initial validation of the general attitudes towards Artificial Intelligence Scale.

Comput Hum Behav Rep. 2020

[4]
Artificial intelligence, bias, and patients' perspectives.

Lancet. 2021-5-29

[5]
Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study.

J Intensive Care. 2021-5-6

[6]
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude.

Eur Radiol. 2021-9

[7]
Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey.

J Med Internet Res. 2021-3-5

[8]
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

BMC Med Inform Decis Mak. 2020-11-30

[9]
Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey.

World Neurosurg. 2021-2

[10]
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.

NPJ Digit Med. 2020-9-11

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