人工智能技术在肠道准备优化中的研究进展
摘要
关键词
参考
Xu H, Tang R S Y, Lam T Y T, et al. Artificial intelligence–assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial[J]. Clinical Gastroenterology and Hepatology, 2023, 21(2): 337-346. e3.
Lebwohl B, Kastrinos F, Glick M et al. The impact of suboptimal bowel preparation on adenoma miss rates and the factors associated with early repeat colonoscopy. Gastrointest Endosc 2011; 73: 1207–1214.
Hong S N, Lee C K, Im J P, et al. Efficacy and safety of split-dose bowel preparation with 1 L polyethylene glycol and ascorbate compared with 2 L polyethylene glycol and ascorbate in a Korean population: a phase IV, multicenter, randomized, endoscopist-blinded study[J]. Gastrointestinal Endoscopy, 2022, 95(3): 500-511. e2.
Hassan C, East J, Radaelli F et al. Bowel preparation for colonoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Guideline Update 2019. Endoscopy 2019; 51: 775–794.
Reumkens A, van der Zander Q, Winkens B, et al. Electrolyte disturbances after bowel preparation for colonoscopy: Systematic review and meta‐analysis. Digestive Endoscopy, 2022, 34(5): 913-926.
梁豪,岳异星,崔曼莉,等. 人工智能赋能消化内镜早诊早治:现状及未来[J]. 实用医院临床杂志,2025,22(5):13-19.
Zhou W, Yao L, Wu H, et al. Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study. Lancet Digit Health. 2021;3(11):e697-e706.
Noor bakhsh-Sabet N, Zand R, Zhang Y, Abedi V. Artificial intelligence transforms the future of health care. Am J Med. (2019) 132:795–801.
祖雅琪,徐鹏,汪燕红,等. 基于CiteSpace国内外人工智能在胃肠疾病领域的应用研究热点和趋势分析[J]. 中国医药导报,2025,22(11):106-113,119.
Hassan C, Spadaccini M, Iannone A et al. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc 2021; 93: 77–85.e76.
Cold K M, Ali A, Konge L, et al. Bowel preparation assessment using artificial intelligence: A systematic review[J]. Endoscopy International Open, 2025.
Cold KM, Heen A, Vamadevan A et al. Development and validation of the Open-Source Automatic Bowel Preparation Scale. Gastrointestinal Endoscopy 2025; 101: 1201–1210
Su JR, Li Z, Shao XJ, Ji CR, Ji R, Zhou RC, et al. Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos). Gastrointest Endosc. (2020) 91:415–424.e4.
Zhou J, Wu L, Wan X, Shen L, Liu J, Zhang J, et al. A novel artificial intelligence system for the assessment of bowel preparation (with video). Gastrointest Endosc. (2020) 91:428–435.e2.
Lee JY, Calderwood AH, Karnes W, Requa J, Jacobson BC, Wallace MB. Artificial intelligence for the assessment of bowel preparation. Gastrointest Endosc. (2022) 95:512–518.e1.
Feng L, Xu J, Ji X, et al. Development and validation of a three-dimensional deep learning-based system for assessing bowel preparation on colonoscopy video. Front Med (Lausanne). 2023;10:1296249. Published 2023 Dec 18.
Hassan C, Spadaccini M, Iannone A et al. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc 2021; 93: 77–85.e76.
Wonggom P, Rattanakanokchai S, Suebkinorn O. Effectiveness of bowel preparation innovative technology instructions (BPITIs) on clinical outcomes among patients undergoing colonoscopy: a systematic review and meta-analysis. Sci Rep 2023; 13: 10783.
Lu YB, Lu SC, Huang YN, et al. Artificial intelligence-tailored bowel preparation reduces laxative burden and promotes sustainable endoscopy. Gut. Published online August 12, 2025.
Gimeno-García AZ, Benítez-Zafra F, Redondo-Zaera I, et al. An Artificial Intelligence-Guided Strategy to Reduce Poor Bowel Preparation: A Multicenter Randomized Controlled Study. Am J Gastroenterol. Published online January 20, 2026.
Kojima K, Takahashi K, Maruyama H, et al. Artificial Intelligence Model for Automated Identification of Bowel Preparation for Colonoscopy (AI-PREPOO): A Multicenter Study. J Gastroenterol Hepatol. 2026;41(2):678-685.
Lee JY, Park J, Lee HJ et al. Automatic assessment of bowel preparation by an artificial intelligence model and its clinical applicability. J Gastroenterol Hepatol 2024; 39: 1917–1923.
Troya J, Fitting D, Brand M, et al. The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze[J]. Endoscopy, 2022, 54(10): 1009-1014.
王俊敏,王学红,王姗,等. 人工智能在消化内镜中的应用进展[J]. 胃肠病学和肝病学杂志,2025,34(8):1223-1228.
Xu H, Tang RSY, Lam TYT, et al. Artificial Intelligence-Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial. Clin Gastroenterol Hepatol. 2023;21(2):337-346.e3.
朱晓芸,吴练练,李素琴,等.人工智能技术在结肠镜退镜速度实时监控中的应用[J].中华消化内镜杂志,2020,37(2):125-130.
Cold KM, Ali A, Konge L, Bjerrum F, Lovat L, Ahmad O. Bowel preparation assessment using artificial intelligence: Systematic review. Endosc Int Open. 2025;13:a26256327. Published 2025 Jul 1.
DOI: http://dx.doi.org/10.12345/yzlcyxzz.v9i4.38098
Refbacks
- 当前没有refback。

此作品已接受知识共享署名-非商业性使用 4.0国际许可协议的许可。





