Ubie 症状检查器:临床小故事模拟研究

N. Kenji Taylor, Takashi Nishibayashi
{"title":"Ubie 症状检查器:临床小故事模拟研究","authors":"N. Kenji Taylor, Takashi Nishibayashi","doi":"10.1101/2024.08.29.24312810","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> AI-driven symptom checkers (SC) are increasingly adopted in healthcare for their potential to provide users with accessible and immediate preliminary health education. These tools, powered by advanced artificial intelligence algorithms, assist patients in quickly assessing their symptoms. Previous studies using clinical vignette approaches have evaluated SC accuracy, highlighting both strengths and areas for improvement.","PeriodicalId":501454,"journal":{"name":"medRxiv - Health Informatics","volume":"53 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ubie Symptom Checker: A Clinical Vignette Simulation Study\",\"authors\":\"N. Kenji Taylor, Takashi Nishibayashi\",\"doi\":\"10.1101/2024.08.29.24312810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background</strong> AI-driven symptom checkers (SC) are increasingly adopted in healthcare for their potential to provide users with accessible and immediate preliminary health education. These tools, powered by advanced artificial intelligence algorithms, assist patients in quickly assessing their symptoms. Previous studies using clinical vignette approaches have evaluated SC accuracy, highlighting both strengths and areas for improvement.\",\"PeriodicalId\":501454,\"journal\":{\"name\":\"medRxiv - Health Informatics\",\"volume\":\"53 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Health Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.29.24312810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.29.24312810","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

背景人工智能驱动的症状检查器(SC)越来越多地应用于医疗保健领域,因为它们可以为用户提供方便、即时的初步健康教育。这些工具由先进的人工智能算法驱动,可帮助患者快速评估自己的症状。以往使用临床小故事方法进行的研究对症状检查器的准确性进行了评估,强调了其优点和有待改进的地方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ubie Symptom Checker: A Clinical Vignette Simulation Study
Background AI-driven symptom checkers (SC) are increasingly adopted in healthcare for their potential to provide users with accessible and immediate preliminary health education. These tools, powered by advanced artificial intelligence algorithms, assist patients in quickly assessing their symptoms. Previous studies using clinical vignette approaches have evaluated SC accuracy, highlighting both strengths and areas for improvement.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信