Se Woo Kim, Jung-Eun Cheon, Young Hun Choi, Jae-Yeon Hwang, Su-Mi Shin, Yeon Jin Cho, Seunghyun Lee, Seul Bi Lee
{"title":"Feasibility of a deep learning artificial intelligence model for the diagnosis of pediatric ileocolic intussusception with grayscale ultrasonography.","authors":"Se Woo Kim, Jung-Eun Cheon, Young Hun Choi, Jae-Yeon Hwang, Su-Mi Shin, Yeon Jin Cho, Seunghyun Lee, Seul Bi Lee","doi":"10.14366/usg.23153","DOIUrl":null,"url":null,"abstract":"This study explored the feasibility of utilizing a deep learning artificial intelligence (AI) model to detect ileocolic intussusception on grayscale ultrasound images.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.14366/usg.23153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
This study explored the feasibility of utilizing a deep learning artificial intelligence (AI) model to detect ileocolic intussusception on grayscale ultrasound images.