{"title":"人工智能如何帮助临床医生识别有自杀风险的美国印第安人","authors":"Yulin Hswen, Jennifer Abbasi","doi":"10.1001/jama.2024.24063","DOIUrl":null,"url":null,"abstract":"This Medical News article is an interview with Emily E. Haroz, PhD, an associate professor at the Johns Hopkins Bloomberg School of Public Health’s Center for Indigenous Health, about an observational study that compared suicide risk machine learning models with a non–artificial intelligence screening method in a large group of Indian Health Service patients.","PeriodicalId":518009,"journal":{"name":"JAMA","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide\",\"authors\":\"Yulin Hswen, Jennifer Abbasi\",\"doi\":\"10.1001/jama.2024.24063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This Medical News article is an interview with Emily E. Haroz, PhD, an associate professor at the Johns Hopkins Bloomberg School of Public Health’s Center for Indigenous Health, about an observational study that compared suicide risk machine learning models with a non–artificial intelligence screening method in a large group of Indian Health Service patients.\",\"PeriodicalId\":518009,\"journal\":{\"name\":\"JAMA\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1001/jama.2024.24063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1001/jama.2024.24063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
这篇医学新闻文章是对Emily E. Haroz博士的采访,她是约翰霍普金斯大学彭博公共卫生学院土著健康中心的副教授,关于一项观察性研究,该研究将自杀风险机器学习模型与非人工智能筛查方法在一大群印第安健康服务患者中进行了比较。
How AI Could Help Clinicians Identify American Indian Patients at Risk for Suicide
This Medical News article is an interview with Emily E. Haroz, PhD, an associate professor at the Johns Hopkins Bloomberg School of Public Health’s Center for Indigenous Health, about an observational study that compared suicide risk machine learning models with a non–artificial intelligence screening method in a large group of Indian Health Service patients.