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Cobianchi, Lorenzo; Piccolo, Daniele; Dal Mas, Francesca; Agnoletti, Vanni; Ansaloni, Luca; Balch, Jeremy; Biffl, Walter; Butturini, Giovanni; Catena, Fausto; Coccolini, Federico; Denicolai, Stefano; De Simone, Belinda; Frigerio, Isabella; Fugazzola, Paola; Marseglia, Gianluigi; Marseglia, Giuseppe Roberto; Martellucci, Jacopo; Modenese, Mirko; Previtali, Pietro; Ruta, Federico; Venturi, Alessandro; Kaafarani, Haytham M.; Loftus, Tyler J.; Abbott, Kenneth Lyle; [...]

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

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  • Medientyp: E-Artikel
  • Titel: Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
  • Beteiligte: Cobianchi, Lorenzo; Piccolo, Daniele; Dal Mas, Francesca; Agnoletti, Vanni; Ansaloni, Luca; Balch, Jeremy; Biffl, Walter; Butturini, Giovanni; Catena, Fausto; Coccolini, Federico; Denicolai, Stefano; De Simone, Belinda; Frigerio, Isabella; Fugazzola, Paola; Marseglia, Gianluigi; Marseglia, Giuseppe Roberto; Martellucci, Jacopo; Modenese, Mirko; Previtali, Pietro; Ruta, Federico; Venturi, Alessandro; Kaafarani, Haytham M.; Loftus, Tyler J.; Abbott, Kenneth Lyle; [...]
  • Erschienen: Springer Science and Business Media LLC, 2023
  • Erschienen in: World Journal of Emergency Surgery
  • Sprache: Englisch
  • DOI: 10.1186/s13017-022-00467-3
  • ISSN: 1749-7922
  • Schlagwörter: Emergency Medicine ; Surgery
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Discussion</jats:title> <jats:p>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.</jats:p> </jats:sec>
  • Zugangsstatus: Freier Zugang