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

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 Soci...

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Autores principales: De Simone, Belinda, Abu-Zidan, Fikri M., Gumbs, Andrew A., Chouillard, Elie, Di Saverio, Salomone, Sartelli, Massimo, Coccolini, Federico, Ansaloni, Luca, Collins, Toby, Kluger, Yoram, Moore, Ernest E., Litvin, Andrej, Leppaniemi, Ari, Mascagni, Pietro, Milone, Luca, Piccoli, Micaela, Abu-Hilal, Mohamed, Sugrue, Michael, Biffl, Walter L., Catena, Fausto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832812/
https://www.ncbi.nlm.nih.gov/pubmed/35144645
http://dx.doi.org/10.1186/s13017-022-00413-3
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author De Simone, Belinda
Abu-Zidan, Fikri M.
Gumbs, Andrew A.
Chouillard, Elie
Di Saverio, Salomone
Sartelli, Massimo
Coccolini, Federico
Ansaloni, Luca
Collins, Toby
Kluger, Yoram
Moore, Ernest E.
Litvin, Andrej
Leppaniemi, Ari
Mascagni, Pietro
Milone, Luca
Piccoli, Micaela
Abu-Hilal, Mohamed
Sugrue, Michael
Biffl, Walter L.
Catena, Fausto
author_facet De Simone, Belinda
Abu-Zidan, Fikri M.
Gumbs, Andrew A.
Chouillard, Elie
Di Saverio, Salomone
Sartelli, Massimo
Coccolini, Federico
Ansaloni, Luca
Collins, Toby
Kluger, Yoram
Moore, Ernest E.
Litvin, Andrej
Leppaniemi, Ari
Mascagni, Pietro
Milone, Luca
Piccoli, Micaela
Abu-Hilal, Mohamed
Sugrue, Michael
Biffl, Walter L.
Catena, Fausto
author_sort De Simone, Belinda
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13017-022-00413-3.
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spelling pubmed-88328122022-02-15 Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey De Simone, Belinda Abu-Zidan, Fikri M. Gumbs, Andrew A. Chouillard, Elie Di Saverio, Salomone Sartelli, Massimo Coccolini, Federico Ansaloni, Luca Collins, Toby Kluger, Yoram Moore, Ernest E. Litvin, Andrej Leppaniemi, Ari Mascagni, Pietro Milone, Luca Piccoli, Micaela Abu-Hilal, Mohamed Sugrue, Michael Biffl, Walter L. Catena, Fausto World J Emerg Surg Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13017-022-00413-3. BioMed Central 2022-02-10 /pmc/articles/PMC8832812/ /pubmed/35144645 http://dx.doi.org/10.1186/s13017-022-00413-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
De Simone, Belinda
Abu-Zidan, Fikri M.
Gumbs, Andrew A.
Chouillard, Elie
Di Saverio, Salomone
Sartelli, Massimo
Coccolini, Federico
Ansaloni, Luca
Collins, Toby
Kluger, Yoram
Moore, Ernest E.
Litvin, Andrej
Leppaniemi, Ari
Mascagni, Pietro
Milone, Luca
Piccoli, Micaela
Abu-Hilal, Mohamed
Sugrue, Michael
Biffl, Walter L.
Catena, Fausto
Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
title Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
title_full Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
title_fullStr Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
title_full_unstemmed Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
title_short Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey
title_sort knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the aries project: an international web-based survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832812/
https://www.ncbi.nlm.nih.gov/pubmed/35144645
http://dx.doi.org/10.1186/s13017-022-00413-3
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