The adoption of artificial intelligence assisted endoscopy in the Middle East: challenges and future potential

IF 3 4区 医学 Q1 Medicine Translational gastroenterology and hepatology Pub Date : 2023-10-01 DOI:10.21037/tgh-23-37
Ahmed El-Sayed, Sara Salman, Laith Alrubaiy
{"title":"The adoption of artificial intelligence assisted endoscopy in the Middle East: challenges and future potential","authors":"Ahmed El-Sayed, Sara Salman, Laith Alrubaiy","doi":"10.21037/tgh-23-37","DOIUrl":null,"url":null,"abstract":": The use of artificial intelligence (AI) in endoscopy has shown immense potential to enhance diagnostic accuracy, streamline procedures, and improve patient outcomes. There are potential uses in every field of endoscopy, from improving adenoma detection rate (ADR) in colonoscopy to reducing read time in capsule endoscopy or minimizing blind spots in gastroscopy. Indeed, some of these systems are already licensed and in commercial use across the world. In the Middle East, where healthcare systems are rapidly evolving, there is a growing interest in adopting AI technologies to revolutionise endoscopic practices. This article provides an overview of the advancements, potential opportunities and challenges associated with the implementation of AI in endoscopy within the Middle East region. Our aim is to contribute to the ongoing dialogue surrounding the implementation of AI in endoscopy and consider some of the factors that are particularly relevant in the Middle Eastern context, including the need to train the models for local populations, cost and training, as well as trying to ensure equity of access for patients. It provides valuable insights for healthcare professionals, policymakers, and researchers interested in leveraging AI to enhance endoscopic procedures, improve patient care, and address the unique healthcare needs of the Middle East population.","PeriodicalId":23267,"journal":{"name":"Translational gastroenterology and hepatology","volume":"51 1","pages":"0"},"PeriodicalIF":3.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational gastroenterology and hepatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21037/tgh-23-37","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

: The use of artificial intelligence (AI) in endoscopy has shown immense potential to enhance diagnostic accuracy, streamline procedures, and improve patient outcomes. There are potential uses in every field of endoscopy, from improving adenoma detection rate (ADR) in colonoscopy to reducing read time in capsule endoscopy or minimizing blind spots in gastroscopy. Indeed, some of these systems are already licensed and in commercial use across the world. In the Middle East, where healthcare systems are rapidly evolving, there is a growing interest in adopting AI technologies to revolutionise endoscopic practices. This article provides an overview of the advancements, potential opportunities and challenges associated with the implementation of AI in endoscopy within the Middle East region. Our aim is to contribute to the ongoing dialogue surrounding the implementation of AI in endoscopy and consider some of the factors that are particularly relevant in the Middle Eastern context, including the need to train the models for local populations, cost and training, as well as trying to ensure equity of access for patients. It provides valuable insights for healthcare professionals, policymakers, and researchers interested in leveraging AI to enhance endoscopic procedures, improve patient care, and address the unique healthcare needs of the Middle East population.
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
中东采用人工智能辅助内窥镜检查:挑战和未来潜力
人工智能(AI)在内窥镜检查中的应用在提高诊断准确性、简化程序和改善患者预后方面显示出巨大的潜力。从提高结肠镜的腺瘤检出率(ADR)到缩短胶囊内镜的阅读时间或减少胃镜的盲点,内镜在各个领域都有潜在的应用。事实上,其中一些系统已经获得许可,并在全球范围内投入商业使用。在中东,医疗保健系统正在迅速发展,人们对采用人工智能技术革新内窥镜检查越来越感兴趣。本文概述了中东地区在内窥镜检查中实施人工智能的进展、潜在机遇和挑战。我们的目标是为围绕在内窥镜检查中实施人工智能的持续对话做出贡献,并考虑在中东背景下特别相关的一些因素,包括为当地人口培训模型的必要性、成本和培训,以及努力确保患者获得公平机会。它为医疗保健专业人员、政策制定者和研究人员提供了有价值的见解,这些研究人员有兴趣利用人工智能来增强内窥镜手术、改善患者护理和解决中东人口独特的医疗保健需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.20
自引率
0.00%
发文量
1
期刊介绍: Translational Gastroenterology and Hepatology (Transl Gastroenterol Hepatol; TGH; Online ISSN 2415-1289) is an open-access, peer-reviewed online journal that focuses on cutting-edge findings in the field of translational research in gastroenterology and hepatology and provides current and practical information on diagnosis, prevention and clinical investigations of gastrointestinal, pancreas, gallbladder and hepatic diseases. Specific areas of interest include, but not limited to, multimodality therapy, biomarkers, imaging, biology, pathology, and technical advances related to gastrointestinal and hepatic diseases. Contributions pertinent to gastroenterology and hepatology are also included from related fields such as nutrition, surgery, public health, human genetics, basic sciences, education, sociology, and nursing.
期刊最新文献
A fucoidan plant drink reduces Helicobacter pylori load in the stomach: a real-world study Risk of second cancer in esophageal squamous cell carcinoma and adenocarcinoma survivors: a population-based analysis in SEER dataset Application and effectiveness of an improved endoscopically guided nasojejunal tube placement technique in critically ill patients: a retrospective cohort study The real efficacy of microbiota restoration following standard of care antimicrobial in patients with recurrent Clostridiodes difficile Therapeutic advancement in inflammatory bowel disease by incorporating plant-based diet
×
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