Artificial intelligence (AI) tools enhance Hyper-IgE syndrome diagnosis by using human phenotype ontology (HPO) terminology rather than HPO ID

{"title":"Artificial intelligence (AI) tools enhance Hyper-IgE syndrome diagnosis by using human phenotype ontology (HPO) terminology rather than HPO ID","authors":"Maaike Kusters, Reem Elfeky, Kimberly Gilmour, Ross Gilmour","doi":"10.1016/j.rcro.2024.100180","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":101248,"journal":{"name":"The Royal College of Radiologists Open","volume":"3 ","pages":"Article 100180"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Royal College of Radiologists Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773066224000317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}