TY - JOUR
T1 - Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project
T2 - an international web-based survey
AU - De Simone, Belinda
AU - Abu-Zidan, Fikri M.
AU - Gumbs, Andrew A.
AU - Chouillard, Elie
AU - Di Saverio, Salomone
AU - Sartelli, Massimo
AU - Coccolini, Federico
AU - Ansaloni, Luca
AU - Collins, Toby
AU - Kluger, Yoram
AU - Moore, Ernest E.
AU - Litvin, Andrej
AU - Leppaniemi, Ari
AU - Mascagni, Pietro
AU - Milone, Luca
AU - Piccoli, Micaela
AU - Abu-Hilal, Mohamed
AU - Sugrue, Michael
AU - Biffl, Walter L.
AU - Catena, Fausto
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Decision making
KW - Emergency surgery
KW - Laparoscopy
KW - Research
KW - Robotic surgery
KW - Survey
KW - Trauma surgery
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U2 - 10.1186/s13017-022-00413-3
DO - 10.1186/s13017-022-00413-3
M3 - Article
C2 - 35144645
AN - SCOPUS:85124447132
SN - 1749-7922
VL - 17
JO - World Journal of Emergency Surgery
JF - World Journal of Emergency Surgery
IS - 1
M1 - 10
ER -