- Title
- Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
- Creator
- Cobianchi, Lorenzo; Piccolo, Daniele; Denicolai, Stefano; Enninghorst, Natalie; De Simone, Belinda; Frigerio, Isabella; Fugazzola, Paola; Marseglia, Gianluigi; Marseglia, Giuseppe Roberto; Martellucci, Jacopo; Modenese, Mirko; Previtali, Pietro; Ruta, Federico; Dal Mas, Francesca; Venturi, Alessandro; Kaafarani, HM; Loftus, TJ; Abbott, KL; Abdelmalik, A; Abebe, NS; Abu-Zidan, F; Adam, YAY; Adamou, H; Adamovich, DM; Agnoletti, Vanni; Agresta, F; Agrusa, A; Akin, E; Alessiani, M; Alexandrino, H; Ali, SM; Mihai, VA; Almeida, PM; Al-Shehari, MM; Altomare, M; Ansaloni, Luca; Amico, Francesco; Ammendola, M; Andreuccetti, J; Anestiadou, E; Angelos, P; Annicchiarico, A; Antonelli, A; Aparicio-Sanchez, D; Ardito, A; Argenio, G; Balch, Jeremy; Arvieux, CC; Askevold, IH; Atanasov, BT; Augustin, G; Awad, SS; Bacchiocchi, G; Bagnoli, C; Bahouth, H; Baili, E; Bains, L; Biffl, Walter; Baiocchi, GL; Bala, M; Balagué, C; Balalis, D; Baldini, E; Baraket, O; Baral, S; Barone, M; Barranquero, AG; Barreras, JA; Butturini, Giovanni; Bass, GA; Bayhan, Z; Bellanova, G; Ben-Ishay, O; Bert, F; Bianchi, V; Biancuzzi, H; Bidoli, C; Radulescu, RB; Bignell, MB; Catena, Fausto; Biloslavo, A; Bini, R; Bissacco, D; Boati, P; Boddaert, G; Bogdanic, B; Bombardini, C; Bonavina, L; Bonomo, L; Bottari, A; Coccolini, Federico; Bouliaris, K; Brachini, G; Brillantino, A; Brisinda, G; Bulanauca, MM; Buonomo, LA; Burcharth, J; Buscemi, S; Calabretto, F; Calini, G
- Relation
- World Journal of Emergency Surgery Vol. 18, Issue 1, no. 1
- Publisher Link
- http://dx.doi.org/10.1186/s13017-022-00467-3
- Publisher
- BioMed Central (BMC)
- Resource Type
- journal article
- Date
- 2023
- Description
- 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.
- Subject
- artificial intelligence; clinical decision-making; decision aids; trauma and emergency surgery; survey
- Identifier
- http://hdl.handle.net/1959.13/1494215
- Identifier
- uon:53750
- Identifier
- ISSN:1749-7922
- Rights
- x
- Language
- eng
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