一个基于人工智能的新眼识别系统对瘤检测指标在查结肠镜设置中的影响
Wen-Feng Hsu1, Wei-Yuan Chang1, Chen-Ya Kuo2
1Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
一个基于人工智能的阴识别系统 (AI-CRS) 在结肠镜检查期间改善了腺瘤检测率. 这种人工智能工具增强了腺瘤的检测能力,尤其是靠近结肠的晚期腺瘤.
科学领域:
- 胃肠病学 胃肠病学
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 在结肠镜检查中,管输管通常是自我报告的,缺乏客观验证.
- 一个基于人工智能的眼识别系统 (AI-CRS) 已被开发用于后期验证眼输管.
- 这项研究旨在评估AI-CRS对腺瘤检测指标的影响.
研究的目的:
- 为了评估AI-CRS在验证腔输管的有效性.
- 确定AI-CRS实施对腺瘤检测率 (ADR) 和高级腺瘤检测率 (aADR) 的影响.
- 在AI-CRS采用之前和之后分析质量指标的变化.
主要方法:
- 一个回顾性分析,比较AI-CRS实施前 (2015-2018) 和之后 (2019-2022) 的质量指标.
- 分析的关键指标包括腔输管率 (CIR),ADR和其他ADR相关指标.
- 进行了统计分析,以评估AI-CRS对腺瘤检测的影响.
主要成果:
- 在AI-CRS实施后,Cecal输管率 (CIR) 没有显著变化.
- 腺瘤检测率 (ADR) 和高级ADR在所有结肠部分显著增加.
- 实施AI-CRS与检测腺瘤 (aOR, 1.35) 和晚期腺瘤 (aOR, 1.23) 的可能性更高有关.
结论:
- 使用AI-CRS进行腔输管后期验证在查结肠镜检查中显著改善了腺瘤检测指标.
- AI-CRS为提高结肠癌查的质量和有效性提供了一个有价值的工具.
- 该系统在检测晚期腺瘤方面表现出显著的影响,特别是在近接结肠.
更多相关视频
15:49Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
Published on: October 16, 2013
00:08Murine Appendectomy Model of Chronic Colitis Associated Colorectal Cancer by Precise Localization of Caecal Patch
Published on: August 24, 2019
相关概念视频
Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy
Radionuclide Testing
Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...
Endoscopic Procedures III: Video Capsule Endoscopy
Assessment of the Rectum and Anus
Rectal Inspection
Begin by inspecting the perianal and anal areas for color, texture, rashes,...
