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

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Article number10
JournalWorld Journal of Emergency Surgery
Volume17
Issue number1
DOIs
Publication statusPublished - Dec 2022

Keywords

  • Artificial intelligence
  • Decision making
  • Emergency surgery
  • Laparoscopy
  • Research
  • Robotic surgery
  • Survey
  • Trauma surgery

ASJC Scopus subject areas

  • Surgery
  • Emergency Medicine

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