传统的结肠镜检查质量评估方式具有主观性强、费时费力等缺点。近年来,人工智能（AI）技术在结肠镜检查质量控制方面展现出客观性、即时性、全面性等优势,具有广阔的应用前景。文章全面探讨了AI在结肠镜检查质量控制中的多个应用场景,包括评估肠道准备质量、记录退镜时间、息肉识别和分类、预测早期结直肠癌浸润深度等方面,并通过具体的研究案例和数据分析了AI技术的有效性和优势。AI技术有望在提升结肠镜检查质量、促进结直肠癌的早诊早治方面发挥更加重要的作用,但面对技术、伦理及法规等多方面的挑战,未来需要持续努力,不断优化算法,加强跨学科合作,推动AI技术在医疗领域的健康、快速发展。

Traditional colonoscopy quality assessment methods have strong subjectivity and are time-consuming．In recent years,artificial intelligence technology has shown objectivity,timeliness,and comprehensiveness in colonoscopy quality control,with broad application prospects．This article comprehensively explores multiple application scenarios of AI in colonoscopy quality control,encompassing assessments of bowel preparation quality,recording of withdrawal times,polyp identification and classification,and prediction of early colorectal cancer invasion depth．Through specific research cases and data analysis,the effectiveness and advantages of AI technology are elucidated．AI technology is expected to play an increasingly significant role in enhancing the quality of colonoscopy and promoting early diagnosis and treatment of colorectal cancer．However,facing challenges from technology,ethics,regulations,and other aspects,continued efforts are needed in the future to continuously optimize algorithms,strengthen interdisciplinary collaboration,and promote the healthy and rapid development of AI technology in the medical field．

目的 调查与分析儿童结直肠息肉的临床特征及腹腔镜联合结肠镜下手术对其的治疗效果。方法 选择2019年2月—2021年10月在郑州大学附属儿童医院诊治的98例结直肠息肉患儿,记录患儿的临床特征,根据患儿的手术方法分为腹腔镜组（腹腔镜联合结肠镜下手术治疗,n=40）与结肠镜组（采用结肠镜手术治疗,n=58）,对比不同手术方法的治疗效果、并发症发生率、疼痛视觉模拟评分法（VAS）评分、息肉复发与再手术率。结果 98例患儿中,息肉部位为直肠44例、横直肠38例、其他16例;息肉最大直径（1.65±0.24）cm;息肉单发83例、多发15例。腹腔镜组的围手术期指标比结肠镜组改善（P<0.05）。腹腔镜组术后7 d的感染、出血、肠穿孔、肠梗阻等并发症发生率为5.00%,低于结肠镜组的17.24%（P<0.05）。腹腔镜组术后1个月的总有效率为97.50%,高于结肠镜组的82.76%（P<0.05）。腹腔镜组术后1、3、7 d的疼痛VAS评分低于结肠镜组（P<0.05）。所有患儿术后随访1年,联合的息肉复发率与再次手术率为5.00%、2.50%,均低于结肠镜组的18.97%、13.79%（P<0.05）。结论 儿童结直肠息肉主要位于直肠、横直肠,多为单发,腹腔镜联合结肠镜下手术治疗能促进患儿康复,提高总体治疗效果,也能缓解患儿疼痛,减少并发症的发生,降低随访息肉复发率与再次手术率。

Objective To investigate and analyze the clinical features of children with colorectal polyps and the efficacy of laparoscopic surgery combined with colonoscopy. Methods A total of 98 children with colorectal polyps diagnosed and treated in our hospital from February 2019 to October 2021 were selected as subjects of this study. The clinical characteristics of all children were recorded,and they were divided into the laparoscopic group(laparoscopic surgery combined with colonoscopy,n=40)and the colonoscopy group(colonoscopy,n=58)according to the differences in surgical methods. The therapeutic effect,complication rate,VAS pain score,polyp recurrence and reoperation rate of different surgical methods were compared. Results Among the 98 children,the polyps of 44 cases were in rectum,38 cases in transverse rectum and 16 cases in other sites. The maximum diameter of polyp was(1. 65±0. 24)cm. Polyps were solitary in 83 cases and multiple in 15 cases. The perioperative indexes in the laparoscopic group were significantly improved compared with those in the colonoscopy group(P<0. 05). The incidence of postoperative complications such as infection,bleeding,intestinal perforation and intestinal obstruction was 5. 00% in the laparoscopy group,which was significantly lower than 17. 24% in the colonoscopy group(P<0. 05). The total effective rate of laparoscopic group was 97. 50% one month after operation,which was significantly higher than that of colonoscopy group(82. 76%,P<0. 05). The VAS pain score of the laparoscopic surgery group was significantly lower than that of the colonoscopy group at 1,3 and 7 days after surgery(P<0. 05). After 1 year of follow-up,the combined polyp recurrence rate and reoperation rate were 5. 00% and 2. 50%,which were significantly reduced compared with 18. 97% and 13. 79% in colonoscopy group(P<0. 05). Conclusions The main sites of colorectal polyps in children are rectum and transverse rectum,and most of them are solitary. Laparoscopic and colonoscopic surgery for colorectal polyps in children can promote the recovery of children,improve the overall treatment effect of patients,relieve the pain of children,reduce the occurrence of complications,and reduce the recurrence rate and reoperation rate of follow-up polyps in children.

目的 探讨粪菌移植(FMT)在两种肠镜下盲肠置管术的临床应用。方法 将2016年1月—2017年6月在我院通过肠镜下盲肠置管术进行粪菌移植的200例患者,随机分为A组和B组,各100例。A组采用直接肠镜置管法完成置管,B组采用二次肠镜置管法完成置管,对两组操作的置管成功率、置管时间、平均疼痛评分、并发症等情况进行对比。结果 与A组相比较,B组到达盲肠时间略长但无统计学意义(14.95min vs 15.26min,P=0.68)、疼痛评分低(5.7 vs 4.8,P<0.05)、更低的并发症发生率(6 % vs 23 %,P<0.05)。结论 在粪菌移植内镜下盲肠置管术患者中,采用通过采用二次肠镜置管法与直接肠镜法相比较完成置管手术时间无统计学差异,但置管成功率高、患者的痛苦小、风险低,值得临床推广。

Objective To investigate the clinical application of fecal microbiota transplantation (FMT) in two kinds of colonoscopic cecal catheterization. Methods From January 2016 to June 2017, 200 patients who took colonoscopic cecal catheterization for fecal microbiota transplantation in our hospital were randomly divided into group A and group B, with 100 patients in each group.Group A used direct colonoscopy catheterization to complete catheterization, group B was treated by the second colonoscopy catheterization. The success rate of catheterization, catheterization time, average pain score and complication were compared between the two groups. Results Compared with group A, the time to reach the cecum in group B was slightly longer but not statistically significant (14.95min vs 15.26min,P=0.68). It had lower pain score (5.7 vs 4.8, P<0.05), lower complication rate. Conclusion Among the patients with colonoscopic cecal catheterization for fecal microbiota transplantation, there was no significant difference in the time of catheterization between the second colonoscopy and the direct colonoscopy, but it has the high success rate of catheterization and low pain, low risk, worthy of clinical promotion.

       传统的结肠镜检查质量评估方式具有主观性强、费时费力等缺点。近年来，人工智能（AI）技术在结肠镜检查质量控制方面展现出客观性、即时性、全面性等优势，具有广阔的应用前景。文章全面探讨了AI在结肠镜检查质量控制中的多个应用场景，包括评估肠道准备质量、记录退镜时间、息肉识别和分类、预测早期结直肠癌浸润深度等方面，并通过具体的研究案例和数据分析了AI技术的有效性和优势。AI技术有望在提升结肠镜检查质量、促进结直肠癌的早诊早治方面发挥更加重要的作用，但面对技术、伦理及法规等多方面的挑战，未来需要持续努力，不断优化算法，加强跨学科合作，推动AI技术在医疗领域的健康、快速发展。

     Traditional colonoscopy quality assessment methods have strong subjectivity and are time-consuming．In recent years，artificial intelligence technology has shown objectivity，timeliness，and comprehensiveness in colonoscopy quality control，with broad application prospects．This article comprehensively explores multiple application scenarios of AI in colonoscopy quality control，encompassing assessments of bowel preparation quality，recording of withdrawal times，polyp identification and classification，and prediction of early colorectal cancer invasion depth．Through specific research cases and data analysis，the effectiveness and advantages of AI technology are elucidated．AI technology is expected to play an increasingly significant  role in enhancing the quality of colonoscopy and promoting early diagnosis and treatment of colorectal cancer．However，facing challenges from technology，ethics，regulations，and other aspects，continued efforts are  needed in the future to continuously optimize algorithms，strengthen interdisciplinary collaboration，and promote the healthy and rapid development of AI technology in the medical field．