• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人工智能与溃疡性结肠炎中的内镜检查/组织学:机器的崛起

AI and endoscopy/histology in UC: the rise of machine.

作者信息

Nardone Olga Maria, Maeda Yasuharu, Iacucci Marietta

机构信息

Division of Gastroenterology, Department of Public Health, University Federico II of Naples, Naples, Italy.

APC Microbiome Ireland, College of Medicine and Health, University College Cork, Cork, Ireland.

出版信息

Therap Adv Gastroenterol. 2024 Oct 18;17:17562848241275294. doi: 10.1177/17562848241275294. eCollection 2024.

DOI:10.1177/17562848241275294
PMID:39435049
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11491880/
Abstract

The gap between endoscopy and histology is getting closer with the introduction of sophisticated endoscopic technologies. Furthermore, unprecedented advances in artificial intelligence (AI) have enabled objective assessment of endoscopy and digital pathology, providing accurate, consistent, and reproducible evaluations of endoscopic appearance and histologic activity. These advancements result in improved disease management by predicting treatment response and long-term outcomes. AI will also support endoscopy in raising the standard of clinical trial study design by facilitating patient recruitment and improving the validity of endoscopic readings and endoscopy quality, thus overcoming the subjective variability in scoring. Accordingly, AI will be an ideal adjunct tool for enhancing, complementing, and improving our understanding of ulcerative colitis course. This review explores promising AI applications enabled by endoscopy and histology techniques. We further discuss future directions, envisioning a bright future where AI technology extends the frontiers beyond human limits and boundaries.

摘要

随着先进内镜技术的引入,内镜检查与组织学之间的差距正在缩小。此外,人工智能(AI)取得了前所未有的进展,能够对内镜检查和数字病理学进行客观评估,对内窥镜外观和组织学活性提供准确、一致且可重复的评估。这些进展通过预测治疗反应和长期结果,改善了疾病管理。人工智能还将通过促进患者招募以及提高内镜读数的有效性和内镜检查质量,支持内镜检查提高临床试验研究设计的标准,从而克服评分中的主观变异性。因此,人工智能将成为增强、补充和改善我们对溃疡性结肠炎病程理解的理想辅助工具。本综述探讨了由内镜检查和组织学技术实现的有前景的人工智能应用。我们进一步讨论了未来方向,展望了人工智能技术拓展超越人类极限和边界的光明未来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c681/11491880/73f6b2c2de6c/10.1177_17562848241275294-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c681/11491880/dc498bbf6537/10.1177_17562848241275294-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c681/11491880/73f6b2c2de6c/10.1177_17562848241275294-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c681/11491880/dc498bbf6537/10.1177_17562848241275294-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c681/11491880/73f6b2c2de6c/10.1177_17562848241275294-fig2.jpg

相似文献

1
AI and endoscopy/histology in UC: the rise of machine.人工智能与溃疡性结肠炎中的内镜检查/组织学:机器的崛起
Therap Adv Gastroenterol. 2024 Oct 18;17:17562848241275294. doi: 10.1177/17562848241275294. eCollection 2024.
2
Artificial intelligence in gastrointestinal endoscopy for inflammatory bowel disease: a systematic review and new horizons.人工智能在炎症性肠病胃肠内镜检查中的应用:系统评价与新视野
Therap Adv Gastroenterol. 2021 Jun 10;14:17562848211017730. doi: 10.1177/17562848211017730. eCollection 2021.
3
Rediscovering histology - the application of artificial intelligence in inflammatory bowel disease histologic assessment.重新认识组织学——人工智能在炎症性肠病组织学评估中的应用
Therap Adv Gastroenterol. 2025 Mar 17;18:17562848251325525. doi: 10.1177/17562848251325525. eCollection 2025.
4
Artificial intelligence in endoscopy related to inflammatory bowel disease: A systematic review.与炎症性肠病相关的内镜检查中的人工智能:一项系统综述。
Indian J Gastroenterol. 2024 Feb;43(1):172-187. doi: 10.1007/s12664-024-01531-3. Epub 2024 Feb 28.
5
Histologic assessments in ulcerative colitis: the evidence behind a new endpoint in clinical trials.溃疡性结肠炎的组织学评估:临床试验中新终点的证据。
Expert Rev Gastroenterol Hepatol. 2024 Jan-Feb;18(1-3):73-87. doi: 10.1080/17474124.2024.2326838. Epub 2024 Mar 21.
6
Artificial intelligence and machine learning technologies in ulcerative colitis.溃疡性结肠炎中的人工智能和机器学习技术
Therap Adv Gastroenterol. 2024 Sep 5;17:17562848241272001. doi: 10.1177/17562848241272001. eCollection 2024.
7
Evaluating the potential of artificial intelligence in ulcerative colitis.评估人工智能在溃疡性结肠炎中的潜力。
Expert Rev Gastroenterol Hepatol. 2023 Feb;17(2):145-153. doi: 10.1080/17474124.2023.2166928. Epub 2023 Jan 18.
8
Artificial Intelligence Enabled Histological Prediction of Remission or Activity and Clinical Outcomes in Ulcerative Colitis.人工智能辅助的溃疡性结肠炎缓解或活动度及临床结局的组织学预测。
Gastroenterology. 2023 Jun;164(7):1180-1188.e2. doi: 10.1053/j.gastro.2023.02.031. Epub 2023 Mar 4.
9
Artificial intelligence-assisted endoscopy changes the definition of mucosal healing in ulcerative colitis.人工智能辅助内镜改变了溃疡性结肠炎黏膜愈合的定义。
Dig Endosc. 2021 Sep;33(6):903-911. doi: 10.1111/den.13825. Epub 2020 Oct 8.
10
Artificial Intelligence in Inflammatory Bowel Disease Endoscopy.炎症性肠病内镜检查中的人工智能
Diagnostics (Basel). 2025 Apr 1;15(7):905. doi: 10.3390/diagnostics15070905.

本文引用的文献

1
Real-Time Artificial Intelligence-Based Optical Diagnosis of Neoplastic Polyps during Colonoscopy.实时基于人工智能的结肠镜检查中肿瘤性息肉的光学诊断。
NEJM Evid. 2022 Jun;1(6):EVIDoa2200003. doi: 10.1056/EVIDoa2200003. Epub 2022 Apr 13.
2
Machine Learning-Based Prediction of Pediatric Ulcerative Colitis Treatment Response Using Diagnostic Histopathology.基于机器学习利用诊断性组织病理学预测儿童溃疡性结肠炎的治疗反应
Gastroenterology. 2024 May;166(5):921-924.e4. doi: 10.1053/j.gastro.2024.01.033. Epub 2024 Feb 2.
3
Achievement of Clinical, Endoscopic, and Histological Outcomes in Patients with Ulcerative Colitis Treated with Etrasimod, and Association with Faecal Calprotectin and C-reactive Protein: Results From the Phase 2 OASIS Trial.
在溃疡性结肠炎患者中使用依特司莫治疗的临床、内镜和组织学结果的实现,以及与粪便钙卫蛋白和 C 反应蛋白的关联:来自 2 期 OASIS 试验的结果。
J Crohns Colitis. 2024 Jun 3;18(6):885-894. doi: 10.1093/ecco-jcc/jjae007.
4
A novel artificial intelligence-assisted "vascular healing" diagnosis for prediction of future clinical relapse in patients with ulcerative colitis: a prospective cohort study (with video).一种新型人工智能辅助“血管愈合”诊断用于预测溃疡性结肠炎患者未来临床复发的前瞻性队列研究(附视频)。
Gastrointest Endosc. 2024 Jul;100(1):97-108. doi: 10.1016/j.gie.2024.01.010. Epub 2024 Jan 10.
5
Clinical usefulness of hypoxia imaging colonoscopy for the objective measurement of ulcerative colitis disease activity.缺氧成像结肠镜检查在溃疡性结肠炎疾病活动的客观测量中的临床应用。
Gastrointest Endosc. 2024 Jun;99(6):1006-1016.e4. doi: 10.1016/j.gie.2023.12.035. Epub 2024 Jan 5.
6
Impact of computer-aided characterization for diagnosis of colorectal lesions, including sessile serrated lesions: Multireader, multicase study.计算机辅助特征分析对结直肠病变(包括平坦型锯齿状病变)诊断的影响:多读者、多病例研究。
Dig Endosc. 2024 Mar;36(3):341-350. doi: 10.1111/den.14612. Epub 2023 Jul 13.
7
Using Computer Vision to Improve Endoscopic Disease Quantification in Therapeutic Clinical Trials of Ulcerative Colitis.利用计算机视觉改善溃疡性结肠炎治疗性临床试验中的内镜疾病量化。
Gastroenterology. 2024 Jan;166(1):155-167.e2. doi: 10.1053/j.gastro.2023.09.049. Epub 2023 Oct 11.
8
Deep Learning Models Capture Histological Disease Activity in Crohn's Disease and Ulcerative Colitis with High Fidelity.深度学习模型能高度精确地捕捉克罗恩病和溃疡性结肠炎的组织学疾病活动情况。
J Crohns Colitis. 2024 Apr 23;18(4):604-614. doi: 10.1093/ecco-jcc/jjad171.
9
Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale.人工智能以分级量表量化溃疡性结肠炎的内镜严重程度。
Dig Endosc. 2024 May;36(5):582-590. doi: 10.1111/den.14677. Epub 2023 Oct 11.
10
Present and future of endoscopy precision for inflammatory bowel disease.炎症性肠病内镜精准化的现状与未来
Dig Endosc. 2024 Mar;36(3):292-304. doi: 10.1111/den.14672. Epub 2023 Sep 22.