Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

World Journal of Emergency Surgery

Research

Fausto Catena¹  Vanni Agnoletti¹  Giuseppe Roberto Marseglia²  Daniele Piccolo³  Luca Ansaloni⁴  Paola Fugazzola⁴  Lorenzo Cobianchi⁵  Gianluigi Marseglia⁶  Belinda De Simone⁷  Isabella Frigerio⁸  Giovanni Butturini⁸  Francesca Dal Mas⁹  Jacopo Martellucci^1,10  Jeremy Balch^1,11  Tyler J. Loftus^1,11  Walter Biffl^1,12  Federico Ruta^1,13  Federico Coccolini^1,14  Haytham M. Kaafarani^1,15  Mirko Modenese^1,16  Pietro Previtali^1,17  Stefano Denicolai^1,17  Alessandro Venturi^1,18 

[1] Bufalini Hospital, AUSL Romagna, Cesena, Italy;Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy;Department of Clinical, Diagnostic and Pediatric Sciences, University of Pavia, Via Alessandro Brambilla, 74, 27100, Pavia, PV, Italy;Department of Neurosurgery, ASUFC Santa Maria Della Misericordia, Udine, Italy;Department of Clinical, Diagnostic and Pediatric Sciences, University of Pavia, Via Alessandro Brambilla, 74, 27100, Pavia, PV, Italy;General Surgery, IRCCS Policlinico San Matteo Foundation, Pavia, Italy;Department of Clinical, Diagnostic and Pediatric Sciences, University of Pavia, Via Alessandro Brambilla, 74, 27100, Pavia, PV, Italy;General Surgery, IRCCS Policlinico San Matteo Foundation, Pavia, Italy;ITIR – Institute for Transformative Innovation Research, University of Pavia, Pavia, Italy;Department of Clinical, Diagnostic and Pediatric Sciences, University of Pavia, Via Alessandro Brambilla, 74, 27100, Pavia, PV, Italy;IRCCS Policlinico San Matteo Foundation, Pediatric Clinic., Pavia, Italy;Department of Emergency, Digestive and Metabolic Minimally Invasive Surgery, Poissy and Saint Germain en Laye Hospitals, Poissy, France;Department of HPB Surgery, Pederzoli Hospital, Peschiera del Garda, Italy;Department of Management, Ca’ Foscari University of Venice, Venice, Italy;Department of Surgery, Careggi University Hospital, Florence, Italy;Department of Surgery, University of Florida Health, Gainesville, FL, USA;Division of Trauma and Acute Care Surgery, Scripps Memorial Hospital La Jolla, La Jolla, CA, USA;General Direction, ASL BAT (Health Agency), Andria, Italy;General, Emergency and Trauma Surgery Department, Pisa University Hospital Pisa, Pisa, Italy;Harvard Medical School, Boston, MA, USA;Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, MA, USA;Humco Srl, Venice, Italy;ITIR – Institute for Transformative Innovation Research, University of Pavia, Pavia, Italy;Department of Economics and Management, University of Pavia, Pavia, Italy;ITIR – Institute for Transformative Innovation Research, University of Pavia, Pavia, Italy;Department of Political and Social Sciences, University of Pavia, Pavia, Italy;Bureau of the Presidency, IRCCS Policlinico San Matteo Foundation, Pavia, Italy;

关键词: Artificial intelligence;    Clinical decision-making;    Decision aids;    Trauma and emergency surgery;    Survey;   

DOI  :  10.1186/s13017-022-00467-3

 received in 2022-11-01, accepted in 2022-11-28,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundArtificial 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.MethodsAn 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.Results650 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.DiscussionThe 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.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

Fig. 1