Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts : results from an international survey
(2023) In World Journal of Emergency Surgery 18(1). p.1-1- Abstract
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... (More)
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.
(Less)
- author
- author collaboration
- publishing date
- 2023-01-03
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Humans, Artificial Intelligence, Surgeons, Clinical Decision-Making, Surveys and Questionnaires
- in
- World Journal of Emergency Surgery
- volume
- 18
- issue
- 1
- pages
- 1 - 1
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:36597105
- scopus:85145428951
- ISSN
- 1749-7922
- DOI
- 10.1186/s13017-022-00467-3
- language
- English
- LU publication?
- no
- additional info
- © 2023. The Author(s).
- id
- 6890d2f2-2baf-4ddd-ae43-b3d26a389034
- date added to LUP
- 2025-07-15 09:24:40
- date last changed
- 2025-07-18 12:49:45
@article{6890d2f2-2baf-4ddd-ae43-b3d26a389034,
abstract = {{<p>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.</p><p>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.</p><p>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.</p><p>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.</p>}},
author = {{Cobianchi, Lorenzo and Piccolo, Daniele and Dal Mas, Francesca and Agnoletti, Vanni and Ansaloni, Luca and Balch, Jeremy and Biffl, Walter and Butturini, Giovanni and Catena, Fausto and Coccolini, Federico and Denicolai, Stefano and De Simone, Belinda and Frigerio, Isabella and Fugazzola, Paola and Marseglia, Gianluigi and Marseglia, Giuseppe Roberto and Martellucci, Jacopo and Modenese, Mirko and Previtali, Pietro and Ruta, Federico and Venturi, Alessandro and Kaafarani, Haytham M and Loftus, Tyler J}},
issn = {{1749-7922}},
keywords = {{Humans; Artificial Intelligence; Surgeons; Clinical Decision-Making; Surveys and Questionnaires}},
language = {{eng}},
month = {{01}},
number = {{1}},
pages = {{1--1}},
publisher = {{BioMed Central (BMC)}},
series = {{World Journal of Emergency Surgery}},
title = {{Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts : results from an international survey}},
url = {{http://dx.doi.org/10.1186/s13017-022-00467-3}},
doi = {{10.1186/s13017-022-00467-3}},
volume = {{18}},
year = {{2023}},
}