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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.
Afiliación
  • De Simone B; Department of Emergency and Metabolic Minimally Invasive Surgery, Centre Hospitalier Intercommunal de Poissy/Saint Germain en Laye, 10 Rue de Champ Gaillard, Poissy Cedex, France. desimone.belinda@gmail.com.
  • Abu-Zidan FM; Department of Surgery, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates.
  • Gumbs AA; Department of Emergency and Metabolic Minimally Invasive Surgery, Centre Hospitalier Intercommunal de Poissy/Saint Germain en Laye, 10 Rue de Champ Gaillard, Poissy Cedex, France.
  • Chouillard E; Department of Emergency and Metabolic Minimally Invasive Surgery, Centre Hospitalier Intercommunal de Poissy/Saint Germain en Laye, 10 Rue de Champ Gaillard, Poissy Cedex, France.
  • Di Saverio S; Department of General Surgery, Ospedale Civile "Madonna del Soccorso", San Benedetto del Tronto, AP, Italy.
  • Sartelli M; Department of General Surgery, Macerata Hospital, Macerata, Italy.
  • Coccolini F; Department of Surgery, Pisa University Hospital, Pisa, Italy.
  • Ansaloni L; Department of General Surgery, University Hospital of Pavia, Pavia, Italy.
  • Collins T; IRCAD, Strasbourg, France.
  • Kluger Y; Department of Emergency and Trauma Surgery, Rambam Health Campus, Haifa, Israel.
  • Moore EE; Department of Surgery, School of Medicine and the Ernest E. Moore Shock Trauma Center at Denver Health, University of Colorado, Denver, CO, USA.
  • Litvin A; Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
  • Leppaniemi A; Department of Surgical Disciplines, Immanuel Kant Baltic Federal University, Regional Clinical Hospital, Kaliningrad, Russia.
  • Mascagni P; Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Milone L; Department of General and Robotic Surgery, The Brooklyn Hospital Center, New York, USA.
  • Piccoli M; Division of General, Emergency Surgery and New Technologies, Ospedale Civile Di Baggiovara, Azienda Ospedaliero - Universitaria Di Modena, Modena, Italy.
  • Abu-Hilal M; Hepato-Bilio-Pancreatic Minimally Invasive Surgery, Poliambulanza Foundation Hospital, Brescia, Italy.
  • Sugrue M; Department of Surgery, Letterkenny University Hospital Ireland, Letterkenny, Ireland.
  • Biffl WL; Department of Trauma and Acute Care Surgery, Scripps Memorial Hospital, La Jolla, CA, USA.
  • Catena F; Department of Emergency and Trauma Surgery, Bufalini Hospital, Cesena, Italy.
World J Emerg Surg ; 17(1): 10, 2022 02 10.
Article en En | MEDLINE | ID: mdl-35144645
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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cirujanos Tipo de estudio: Qualitative_research Límite: Female / Humans / Male Idioma: En Revista: World J Emerg Surg Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Cirujanos Tipo de estudio: Qualitative_research Límite: Female / Humans / Male Idioma: En Revista: World J Emerg Surg Año: 2022 Tipo del documento: Article País de afiliación: Francia