人工智能在炎症性肠病内窥镜检查中的应用:现状和未来的道路。

IF 3 Q2 GASTROENTEROLOGY & HEPATOLOGY Therapeutic Advances in Gastrointestinal Endoscopy Pub Date : 2021-07-14 eCollection Date: 2021-01-01 DOI:10.1177/26317745211017809
Suneha Sundaram, Tenzin Choden, Mark C Mattar, Sanjal Desai, Madhav Desai
{"title":"人工智能在炎症性肠病内窥镜检查中的应用:现状和未来的道路。","authors":"Suneha Sundaram,&nbsp;Tenzin Choden,&nbsp;Mark C Mattar,&nbsp;Sanjal Desai,&nbsp;Madhav Desai","doi":"10.1177/26317745211017809","DOIUrl":null,"url":null,"abstract":"<p><p>Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.</p>","PeriodicalId":40947,"journal":{"name":"Therapeutic Advances in Gastrointestinal Endoscopy","volume":"14 ","pages":"26317745211017809"},"PeriodicalIF":3.0000,"publicationDate":"2021-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ad/34/10.1177_26317745211017809.PMC8283211.pdf","citationCount":"8","resultStr":"{\"title\":\"Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead.\",\"authors\":\"Suneha Sundaram,&nbsp;Tenzin Choden,&nbsp;Mark C Mattar,&nbsp;Sanjal Desai,&nbsp;Madhav Desai\",\"doi\":\"10.1177/26317745211017809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.</p>\",\"PeriodicalId\":40947,\"journal\":{\"name\":\"Therapeutic Advances in Gastrointestinal Endoscopy\",\"volume\":\"14 \",\"pages\":\"26317745211017809\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2021-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ad/34/10.1177_26317745211017809.PMC8283211.pdf\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutic Advances in Gastrointestinal Endoscopy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/26317745211017809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Therapeutic Advances in Gastrointestinal Endoscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/26317745211017809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 8

摘要

炎症性肠病是一种复杂的慢性炎症性疾病,在诊断、选择合适的治疗、确定个体反应性和预测未来疾病进程以指导适当的管理方面具有挑战性。人工智能已经在炎症性肠病内窥镜领域进行了研究,在炎症性肠病的不同领域,包括诊断、评估粘膜活性、预测复发和并发症,都有很好的数据。在内窥镜检查中使用人工智能可能是在炎症性肠病护理途径中向精准医学迈出的一步。我们回顾了关于使用人工智能诊断炎症性肠病、严重程度分级、预测复发和不典型增生检测的现有数据。在这篇综述中,我们研究了人工智能增强内窥镜在炎症性肠病护理的各个方面的潜在作用和未来的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead.

Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.

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
CiteScore
4.80
自引率
0.00%
发文量
8
审稿时长
13 weeks
期刊最新文献
Endoscopic ultrasound-guided placement of lumen-apposing metal stent for transgastric drainage of loculated malignant ascites. Effectiveness of endoscopic ultrasound-guided simple puncture-aspiration (non-stenting) in the management of abdominal collections. Causes of intraprocedural discomfort in colonoscopy: a review and practical tips. Retrograde colon imaging through colonic transendoscopic enteral tubing helps to confirm the cause of difficult colonoscopy: a case report. Total mesorectal excision after rectal-sparing approach in locally advanced rectal cancer patients after neoadjuvant treatment: a high volume center experience.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1