7 research outputs found
Aortic septotomy with scissor-technique
Viene descritta tecnica innovativa per il ridurre le complicanze legate alla dissezione aorta toracic
Cranial ultrasound findings in late preterm infants and correlation with perinatal risk factors
Protein immobilization onto newly developed polyurethane-maleamides for endothelial cell growth
none6P. Petrini; L. Visai; S. Farè; C. Liffredo; P. Speziale; M. TanziPetrini, Paola; L., Visai; Fare', Silvia; C., Liffredo; P., Speziale; Tanzi, MARIA CRISTIN
New heparinizable modified poly(carbonate urethane) surfaces diminishing bacterial colonization
Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
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