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Open Access 01-12-2022 | Artificial Intelligence | Research

Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey

Authors: Belinda De Simone, Fikri M. Abu-Zidan, Andrew A. Gumbs, Elie Chouillard, Salomone Di Saverio, Massimo Sartelli, Federico Coccolini, Luca Ansaloni, Toby Collins, Yoram Kluger, Ernest E. Moore, Andrej Litvin, Ari Leppaniemi, Pietro Mascagni, Luca Milone, Micaela Piccoli, Mohamed Abu-Hilal, Michael Sugrue, Walter L. Biffl, Fausto Catena

Published in: World Journal of Emergency Surgery | Issue 1/2022

Abstract

Aim

We aimed to evaluate the knowledge, attitude, and practices in the application of AI in the emergency setting among international acute care and emergency surgeons.

Methods

An online questionnaire composed of 30 multiple choice and open-ended questions was sent to the members of the World Society of Emergency Surgery between 29th May and 28th August 2021. The questionnaire was developed by a panel of 11 international experts and approved by the WSES steering committee.

Results

200 participants answered the survey, 32 were females (16%). 172 (86%) surgeons thought that AI will improve acute care surgery. Fifty surgeons (25%) were trained, robotic surgeons and can perform it. Only 19 (9.5%) were currently performing it. 126 (63%) surgeons do not have a robotic system in their institution, and for those who have it, it was mainly used for elective surgery. Only 100 surgeons (50%) were able to define different AI terminology. Participants thought that AI is useful to support training and education (61.5%), perioperative decision making (59.5%), and surgical vision (53%) in emergency surgery. There was no statistically significant difference between males and females in ability, interest in training or expectations of AI (p values 0.91, 0.82, and 0.28, respectively, Mann–Whitney U test). Ability was significantly correlated with interest and expectations (p < 0.0001 Pearson rank correlation, rho 0.42 and 0.47, respectively) but not with experience (p = 0.9, rho − 0.01).

Conclusions

The implementation of artificial intelligence in the emergency and trauma setting is still in an early phase. The support of emergency and trauma surgeons is essential for the progress of AI in their setting which can be augmented by proper research and training programs in this area.

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Title: Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
Authors: Belinda De Simone
Fikri M. Abu-Zidan
Andrew A. Gumbs
Elie Chouillard
Salomone Di Saverio
Massimo Sartelli
Federico Coccolini
Luca Ansaloni
Toby Collins
Yoram Kluger
Ernest E. Moore
Andrej Litvin
Ari Leppaniemi
Pietro Mascagni
Luca Milone
Micaela Piccoli
Mohamed Abu-Hilal
Michael Sugrue
Walter L. Biffl
Fausto Catena
Publication date: 01-12-2022
Publisher: BioMed Central
Keyword: Artificial Intelligence
Published in: World Journal of Emergency Surgery / Issue 1/2022
Electronic ISSN: 1749-7922
DOI: https://doi.org/10.1186/s13017-022-00413-3

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Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey

Abstract

Aim

Methods

Results

Conclusions

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Springer Medicine

Abstract

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Methods

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