{"title":"How Bayesian artificial intelligence help fight uncertainty in trauma survival predictions: analysis of concepts","authors":"S. Selitsky","doi":"10.14300/mnnc.2023.18035","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) allows medical practitioners to evaluate and reduce the risks of life-threatening patient outcomes. This paper analyses current concepts of Bayesian AI developed to accurately assess trauma severity. It has shown that the proposed Bayesian concept overcomes the «gold» standard used for trauma care in the US and UK emergency units. The examination has been conducted regarding prediction accuracy estimated on the largest trauma patient repository.","PeriodicalId":53493,"journal":{"name":"Medical News of North Caucasus","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical News of North Caucasus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14300/mnnc.2023.18035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial Intelligence (AI) allows medical practitioners to evaluate and reduce the risks of life-threatening patient outcomes. This paper analyses current concepts of Bayesian AI developed to accurately assess trauma severity. It has shown that the proposed Bayesian concept overcomes the «gold» standard used for trauma care in the US and UK emergency units. The examination has been conducted regarding prediction accuracy estimated on the largest trauma patient repository.