机器学习在儿童心脏骤停后早期头部CT上识别缺氧缺血性脑损伤

IF 4.6 1区医学 Q1 CRITICAL CARE MEDICINE

Resuscitation Pub Date : 2025-06-27 DOI:10.1016/j.resuscitation.2025.110693

Matthew P. Kirschen, Jiren Li, Jonathan Elmer, Amirreza Manteghinejad, Dooman Arefan, Kathryn Graham, Ryan W. Morgan, Vinay Nadkarni, Ramon Diaz-Arrastia, Robert Berg, Alexis Topjian, Arastoo Vossough, Shandong Wu

{"title":"机器学习在儿童心脏骤停后早期头部CT上识别缺氧缺血性脑损伤","authors":"Matthew P. Kirschen, Jiren Li, Jonathan Elmer, Amirreza Manteghinejad, Dooman Arefan, Kathryn Graham, Ryan W. Morgan, Vinay Nadkarni, Ramon Diaz-Arrastia, Robert Berg, Alexis Topjian, Arastoo Vossough, Shandong Wu","doi":"10.1016/j.resuscitation.2025.110693","DOIUrl":null,"url":null,"abstract":"To train deep learning models to detect hypoxic-ischemic brain injury (HIBI) on early CT scans after pediatric out-of-hospital cardiac arrest (OHCA) and determine if models could identify HIBI that was not visually appreciable to a radiologist.","PeriodicalId":21052,"journal":{"name":"Resuscitation","volume":"199 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning to identify hypoxic-ischemic brain injury on early head CT after pediatric cardiac arrest\",\"authors\":\"Matthew P. Kirschen, Jiren Li, Jonathan Elmer, Amirreza Manteghinejad, Dooman Arefan, Kathryn Graham, Ryan W. Morgan, Vinay Nadkarni, Ramon Diaz-Arrastia, Robert Berg, Alexis Topjian, Arastoo Vossough, Shandong Wu\",\"doi\":\"10.1016/j.resuscitation.2025.110693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To train deep learning models to detect hypoxic-ischemic brain injury (HIBI) on early CT scans after pediatric out-of-hospital cardiac arrest (OHCA) and determine if models could identify HIBI that was not visually appreciable to a radiologist.\",\"PeriodicalId\":21052,\"journal\":{\"name\":\"Resuscitation\",\"volume\":\"199 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resuscitation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.resuscitation.2025.110693\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resuscitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.resuscitation.2025.110693","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}

引用次数: 0

摘要

训练深度学习模型在儿科院外心脏骤停（OHCA）后的早期CT扫描中检测缺氧缺血性脑损伤（HIBI），并确定模型是否可以识别放射科医生肉眼无法察觉的HIBI。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Machine learning to identify hypoxic-ischemic brain injury on early head CT after pediatric cardiac arrest

To train deep learning models to detect hypoxic-ischemic brain injury (HIBI) on early CT scans after pediatric out-of-hospital cardiac arrest (OHCA) and determine if models could identify HIBI that was not visually appreciable to a radiologist.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Resuscitation 医学-急救医学

CiteScore

12.00

自引率

18.50%

发文量

556

审稿时长

21 days

期刊介绍： Resuscitation is a monthly international and interdisciplinary medical journal. The papers published deal with the aetiology, pathophysiology and prevention of cardiac arrest, resuscitation training, clinical resuscitation, and experimental resuscitation research, although papers relating to animal studies will be published only if they are of exceptional interest and related directly to clinical cardiopulmonary resuscitation. Papers relating to trauma are published occasionally but the majority of these concern traumatic cardiac arrest.