> Details
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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- Media type: E-Article
- Title: Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
- Contributor: 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; [...]
- imprint: Springer Science and Business Media LLC, 2023
- Published in: World Journal of Emergency Surgery
- Language: English
- DOI: 10.1186/s13017-022-00467-3
- ISSN: 1749-7922
- Keywords: Emergency Medicine ; Surgery
- Origination:
- Footnote:
- Description: <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>
- Access State: Open Access