Browsing by Author "Jeremy Balch"
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Publication Surgeons’ Perspectives on Artificial Intelligence to Support Clinical Decision‑making in Trauma and Emergency Contexts: Results from an International Survey(BMC, 2023) ;Lorenzo Cobianchi ;Daniele Piccolo ;Francesca Dal Mas ;Vanni Agnoletti ;Luca Ansaloni ;Jeremy Balch ;Walter Biffl ;Giovanni Butturini ;Fausto Catena ;Federico Coccolini ;Stefano Denicolai ;Belinda De Simone ;Isabella Frigerio ;Paola Fugazzola ;Gianluigi Marseglia ;Giuseppe Roberto Marseglia ;Jacopo Martellucci, ;Mirko Modenese ;Pietro Previtali ;Federico Ruta ;Alessandro Venturi ;Haytham M. Kaafarani ;Tyler J. Loftus ;Ruhi Fadzlyana JailaniTeam Dynamics Study GroupBackground :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.