TY - JOUR

T1 - Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts

T2 - results from an international survey

AU - Cobianchi, Lorenzo

AU - Piccolo, Daniele

AU - Dal Mas, Francesca

AU - Agnoletti, Vanni

AU - Ansaloni, Luca

AU - Balch, Jeremy

AU - Biffl, Walter

AU - Butturini, Giovanni

AU - Catena, Fausto

AU - Coccolini, Federico

AU - Denicolai, Stefano

AU - De Simone, Belinda

AU - Frigerio, Isabella

AU - Fugazzola, Paola

AU - Marseglia, Gianluigi

AU - Marseglia, Giuseppe Roberto

AU - Martellucci, Jacopo

AU - Modenese, Mirko

AU - Previtali, Pietro

AU - Ruta, Federico

AU - Venturi, Alessandro

AU - Kaafarani, Haytham M.

AU - Loftus, Tyler J.

AU - Team Dynamics Study Group

AU - Burcharth, Jakob

AU - Wilson, Michael Samuel James

N1 - Publisher Copyright: © The Author(s) 2023.

PY - 2023

Y1 - 2023

N2 - Background: Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based applications can offer tools to examine high-volume data to inform predictive analytics that supports complex decision-making processes. Time-sensitive trauma and emergency contexts are often challenging. The study aims to investigate trauma and emergency surgeons’ knowledge and perception of using AI-based tools in clinical decision-making processes. Methods: An online survey grounded on literature regarding AI-enabled surgical decision-making aids was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was advertised to 917 WSES members through the society’s website and Twitter profile. Results: 650 surgeons from 71 countries in five continents participated in the survey. Results depict the presence of technology enthusiasts and skeptics and surgeons’ preference toward more classical decision-making aids like clinical guidelines, traditional training, and the support of their multidisciplinary colleagues. A lack of knowledge about several AI-related aspects emerges and is associated with mistrust. Discussion: The trauma and emergency surgical community is divided into those who firmly believe in the potential of AI and those who do not understand or trust AI-enabled surgical decision-making aids. Academic societies and surgical training programs should promote a foundational, working knowledge of clinical AI.

AB - Background: Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based applications can offer tools to examine high-volume data to inform predictive analytics that supports complex decision-making processes. Time-sensitive trauma and emergency contexts are often challenging. The study aims to investigate trauma and emergency surgeons’ knowledge and perception of using AI-based tools in clinical decision-making processes. Methods: An online survey grounded on literature regarding AI-enabled surgical decision-making aids was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was advertised to 917 WSES members through the society’s website and Twitter profile. Results: 650 surgeons from 71 countries in five continents participated in the survey. Results depict the presence of technology enthusiasts and skeptics and surgeons’ preference toward more classical decision-making aids like clinical guidelines, traditional training, and the support of their multidisciplinary colleagues. A lack of knowledge about several AI-related aspects emerges and is associated with mistrust. Discussion: The trauma and emergency surgical community is divided into those who firmly believe in the potential of AI and those who do not understand or trust AI-enabled surgical decision-making aids. Academic societies and surgical training programs should promote a foundational, working knowledge of clinical AI.

KW - Artificial intelligence

KW - Clinical decision-making

KW - Decision aids

KW - Survey

KW - Trauma and emergency surgery

U2 - 10.1186/s13017-022-00467-3

DO - 10.1186/s13017-022-00467-3

M3 - Journal article

C2 - 36597105

AN - SCOPUS:85145428951

VL - 18

JO - World Journal of Emergency Surgery

JF - World Journal of Emergency Surgery

SN - 1749-7922

M1 - 1

ER -