人工智能在越南胃肠内镜检查中的应用:述评。

IF 3 Q2 GASTROENTEROLOGY & HEPATOLOGY Therapeutic Advances in Gastrointestinal Endoscopy Pub Date : 2024-12-23 eCollection Date: 2024-01-01 DOI:10.1177/26317745241306562
Hang Viet Dao, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Thao Thi Dang, Long Bao Hoang, Hung Quang Le, Long Van Dao
{"title":"人工智能在越南胃肠内镜检查中的应用:述评。","authors":"Hang Viet Dao, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Thao Thi Dang, Long Bao Hoang, Hung Quang Le, Long Van Dao","doi":"10.1177/26317745241306562","DOIUrl":null,"url":null,"abstract":"<p><p>The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed significant progress and promising results in recent years worldwide. From 2019 to 2023, the European Society of Gastrointestinal Endoscopy has released multiple guidelines/consensus with recommendations on integrating AI for detecting and classifying lesions in practical endoscopy. In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. These studies have yielded high accuracy results ranging from 86% to 92%. For upper GI endoscopy, ongoing research directions comprise image quality assessment, detection of anatomical landmarks, simulating image-enhanced endoscopy, and semi-automated tools supporting the delineation of GI lesions on endoscopic images. For lower GI endoscopy, most studies focus on developing AI algorithms for colorectal polyps' detection and classification based on the risk of malignancy. In conclusion, the application of AI in this field represents a promising research direction, presenting challenges and opportunities for real-world implementation within the Vietnamese healthcare context.</p>","PeriodicalId":40947,"journal":{"name":"Therapeutic Advances in Gastrointestinal Endoscopy","volume":"17 ","pages":"26317745241306562"},"PeriodicalIF":3.0000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11672465/pdf/","citationCount":"0","resultStr":"{\"title\":\"Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review.\",\"authors\":\"Hang Viet Dao, Binh Phuc Nguyen, Tung Thanh Nguyen, Hoa Ngoc Lam, Trang Thi Huyen Nguyen, Thao Thi Dang, Long Bao Hoang, Hung Quang Le, Long Van Dao\",\"doi\":\"10.1177/26317745241306562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed significant progress and promising results in recent years worldwide. From 2019 to 2023, the European Society of Gastrointestinal Endoscopy has released multiple guidelines/consensus with recommendations on integrating AI for detecting and classifying lesions in practical endoscopy. In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. These studies have yielded high accuracy results ranging from 86% to 92%. For upper GI endoscopy, ongoing research directions comprise image quality assessment, detection of anatomical landmarks, simulating image-enhanced endoscopy, and semi-automated tools supporting the delineation of GI lesions on endoscopic images. For lower GI endoscopy, most studies focus on developing AI algorithms for colorectal polyps' detection and classification based on the risk of malignancy. In conclusion, the application of AI in this field represents a promising research direction, presenting challenges and opportunities for real-world implementation within the Vietnamese healthcare context.</p>\",\"PeriodicalId\":40947,\"journal\":{\"name\":\"Therapeutic Advances in Gastrointestinal Endoscopy\",\"volume\":\"17 \",\"pages\":\"26317745241306562\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11672465/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Therapeutic Advances in Gastrointestinal Endoscopy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/26317745241306562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 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/10.1177/26317745241306562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

近年来,人工智能(AI)在胃肠道(GI)内窥镜检查中的应用取得了重大进展并取得了可喜的成果。2019年至2023年,欧洲胃肠内镜学会发布了多项指南/共识,建议在实际内镜检查中整合人工智能进行病变检测和分类。在越南,自2019年以来,已经进行了几项初步研究,以开发胃肠道内窥镜的人工智能算法,重点是病变检测。这些研究的准确度在86%到92%之间。对于上消化道内窥镜,正在进行的研究方向包括图像质量评估、解剖标志检测、模拟图像增强内窥镜以及支持内窥镜图像上胃肠道病变描绘的半自动工具。对于下消化道内镜,大多数研究都集中在开发基于恶性风险的人工智能算法来检测和分类结直肠息肉。总之,人工智能在这一领域的应用代表了一个有前途的研究方向,为越南医疗保健环境中的现实世界实施带来了挑战和机遇。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review.

The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed significant progress and promising results in recent years worldwide. From 2019 to 2023, the European Society of Gastrointestinal Endoscopy has released multiple guidelines/consensus with recommendations on integrating AI for detecting and classifying lesions in practical endoscopy. In Vietnam, since 2019, several preliminary studies have been conducted to develop AI algorithms for GI endoscopy, focusing on lesion detection. These studies have yielded high accuracy results ranging from 86% to 92%. For upper GI endoscopy, ongoing research directions comprise image quality assessment, detection of anatomical landmarks, simulating image-enhanced endoscopy, and semi-automated tools supporting the delineation of GI lesions on endoscopic images. For lower GI endoscopy, most studies focus on developing AI algorithms for colorectal polyps' detection and classification based on the risk of malignancy. In conclusion, the application of AI in this field represents a promising research direction, presenting challenges and opportunities for real-world implementation within the Vietnamese healthcare context.

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
Clinical outcomes and risk factors of post-polypectomy microperforation in patients with colorectal neoplasia: a case-control study. Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review. Does FIT have a role in the detection of small bowel pathology: a prospective study. 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.
×
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