Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Feb 10;17(1):10.
doi: 10.1186/s13017-022-00413-3.

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

Belinda De Simone  1 , Fikri M Abu-Zidan  2 , Andrew A Gumbs  3 , Elie Chouillard  3 , Salomone Di Saverio  4 , Massimo Sartelli  5 , Federico Coccolini  6 , Luca Ansaloni  7 , Toby Collins  8 , Yoram Kluger  9 , Ernest E Moore  10 , Andrej Litvin  11 , Ari Leppaniemi  12 , Pietro Mascagni  13 , Luca Milone  14 , Micaela Piccoli  15 , Mohamed Abu-Hilal  16 , Michael Sugrue  17 , Walter L Biffl  18 , Fausto Catena  19
Affiliations

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

Belinda De Simone et al. World J Emerg Surg. .

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.

Keywords: Artificial intelligence; Decision making; Emergency surgery; Laparoscopy; Research; Robotic surgery; Survey; Trauma surgery.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Expectations, interest, and abilities of the respondents where a is the answer for “Do you think that Artificial intelligence can improve emergency surgery” on a scale (rank) of 5 where 1 is not at all and 5 is extremely”; b is the answer for the question “ What is your interest in a course or research emergency surgery on a scale (rank) of 5 where 1 not at all and 5 is extremely” and c is the answer for the question “What is your ability in adopting new technologies on a scale (ranks) of 1–10 where 1 is very slow while 10 in an enthusiastic adopter of new technology”
Fig. 2
Fig. 2
The Gartner Hype Cycle methodology describes how the perceived value of a given technology evolves
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Bellman R. An introduction to artificial intelligence: can computers think? San Francisco: Boyd & Fraser Pub Co; 1978.
    1. Hashimoto DA, Rosman G, Rus D, Meireles OR. Artificial intelligence in surgery: promises and perils. Ann Surg. 2018;268(1):70–76. doi: 10.1097/SLA.0000000000002693.PMID:29389679;PMCID:PMC5995666. - DOI - PMC - PubMed
    1. Vitiello V, Lee SL, Cundy TP, Yang GZ. Emerging robotic platforms for minimally invasive surgery. IEEE Rev Biomed Eng. 2013;6:111–126. doi: 10.1109/RBME.2012.2236311. - DOI - PubMed
    1. Mascagni P, Longo F, Barberio M, Seeliger B, Agnus V, Saccomandi P, Hostettler A, Marescaux J, Diana M. New intraoperative imaging technologies: Innovating the surgeon’s eye toward surgical precision. J Surg Oncol. 2018;118(2):265–282. doi: 10.1002/jso.25148. - DOI - PubMed
    1. Mascagni P, Vardazaryan A, Alapatt D, Urade T, Emre T, Fiorillo C, Pessaux P, Mutter D, Marescaux J, Costamagna G, Dallemagne B. Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning. Ann Surg. 2021 May 24. - PubMed

LinkOut - more resources