ArticleWorld journal of emergency surgery : WJES2023
Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey.
Article in World journal of emergency surgery : WJES, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 64 citations in OpenAlex.
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- Artificial intelligence in the emergency department-- applications, perceptions and limitations: a narrative review.World journal of emergency medicine · 2026Review
- Management and Prediction of Acute Pancreatitis Severity Using AI: A Surgical Perspective.Diagnostics (Basel, Switzerland) · 2026Review
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- Narrative review of the ethics of artificial intelligence: are we ready for artificial intelligence in surgery?Journal of thoracic disease · 2026Review
- Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.World journal of emergency surgery : WJES · 2026Article
- Decoding Alexander the Great's gastrointestinal cause of death using artificial wisdom: An artificial intelligence-human inquiry into a medical mystery.World journal of gastroenterology · 2025Article
- Enhanced Trauma Video Review With Computer Vision: Trauma Resuscitation Phase Segmentation and Procedure Detection.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025Article
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- Path towards personalized care of hepatocellular carcinoma: a nomogram for survival prediction.Journal of gastrointestinal oncology · 2025Article
- German surgeons' perspective on the application of artificial intelligence in clinical decision-making.International journal of computer assisted radiology and surgery · 2025Article
- Ethical considerations on the role of artificial intelligence in defining the futility in emergency surgery.International journal of surgery (London, England) · 2025Article
- AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2025Observational
- Outcome prediction after emergency cholecystectomy: performance evaluation of the ACS-NSQIP surgical risk calculator and the 5-item modified frailty index.Updates in surgery · 2025Article
- Small bowel obstruction outcomes according to compliance with the World Society of Emergency Surgery Bologna guidelines.The British journal of surgery · 2025Observational
- Artificial Intelligence in Oculoplastics: A Survey-Based Study on Provider Perspective.Cureus · 2025Article
- Review
- Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future Prospects.Bioengineering (Basel, Switzerland) · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
24 authors at 11 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial 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.
methodsAn 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.
results650 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.