目的：探讨人工智能消化内镜系统辅助诊断对结肠息肉检出情况的影响。方法：回顾性分析 2022 年 10 月—2023 年 10 月在安徽医科大学第一附属医院进行内镜检查的 150 例息肉初筛高危患者的临床资料及检测结果。 根据患者意愿，81 例接受“影诺鹰眼”人工智能消化内镜系统辅助无痛结肠镜检查，69 例接受普通无痛结肠镜检查。 比较两种检查方法对结肠息肉的检出率，分析影响检出率的相关因素。结果：结肠息肉总检出率 54.00%（81/150）， 接受无痛结肠镜检查患者的检出率为 44.93%（31/69），低于人工智能消化内镜系统辅助无痛结肠镜检查的 61.73% （50/81）。检出组患者年龄、男性占比、BMI、有慢性腹泻或便秘症状者占比、有肠道息肉史者占比、肠道准备评分、 人工智能消化内镜系统使用率均高于未检出组。Logistic 回归分析显示，受检者的年龄及是否使用人工智能消化内镜 系统是结肠息肉检出率的独立影响因素，年龄、肠道准备评分和退镜时间是影响人工智能消化内镜系统检出率的独 立影响因素。结论：高龄、肥胖、肠道息肉史、慢性腹泻或便秘人群是结肠息肉高发人群，应加强结肠息肉检查； 使用“影诺鹰眼”人工智能消化内镜系统辅助检查、提高肠道准备评分、延长退镜时间有助于提高结肠息肉的检出率。

Objective: To explore the clinical application value of AI digestive endoscopic system assisted diagnosis on colon polyps. Methods: Clinical data and test results of 150 cases of polyp screening for high-risk patients underwent endoscopic examination in the First Affiliated Hospital of Anhui Medical University from October 2022 to October 2023 were retrospectively analyzed. According to the patients’ willingness, 81 patients received painless colonoscopy assisted by AI digestive endoscopic system (Innovision Eagle-Eye Endoscopy®), 69 cases received normal painless colonoscopy. The colon polyp detection rates of the two groups were compared, colon polyp detection influencing factors were analyzed. Results: The total detection rate of colon polyp was 54.00% (81/150), and the detection rate of patients who underwent normal painless colonoscopy was 44.93% (31/69), which was lower than 61.73% (50/81) of AI digestive endoscopic system assisted painless colonoscopy. The age of patients, percentage of male, BMI, percentage of those with chronic diarrhea or constipation, percentage of those with a history of intestinal polyps, bowel preparation score, and percentage of using AI digestive endoscopic system were higher in the detected group than the non-detected group. Logistic regression analysis results showed that age and using AI digestive endoscopic system or not were the independent factors on the detection rate of colon polyps, age, bowel preparation score and exit time were independent factors on the detection rate of AI digestive endoscopic system. Conclusion: People with advanced age, obesity, history of intestinal polyps, and chronic diarrhea or constipation are the most common groups of colon polyps, thus detection of colon polyp should be strengthened. Using Innovision Eagle-Eye Endoscopy® AI digestive endoscopic system to assist the detection, improving the bowel preparation score and prolonging the time of exit are helpful to improve the detection rate of colon polyps.

收稿日期：2024-03-06  录用日期：2024-04-20 

Received Date: 2024-03-06  Accepted Date: 2024-04-20 

基金项目：安徽医科大学临床医学学科建设项目基金（2020lcxk033）；安徽省教育厅高等学校省级质量工程项目（2020jyxm0907） 

Foundation Item: Clinical Medicine Discipline Construction Project Fund of Anhui Medical University (2020lcxk033); Provinelevel Quality Engineering Project for Higher Education Institutions of Anhui Education Department (2020jyxm0907) 

通讯作者：唐敏，Email：tangpanpan1@163.com；齐乐，Email：174319626@qq.com 

Corresponding Author: TANG Min, Email: tangpanpan1@163.com; QI Le, Email: 174319626@qq.com 

引用格式：朱丽丽，石嫦娥，占俊，等 . 人工智能消化内镜系统辅助结肠息肉诊断的临床应用及影响因素分析 [J]. 机器人外科学杂 志（中英文），2024，5（3）：478-483. 

Citation: ZHU L L, SHI C E, ZHAN J, et al. Clinical application of AI digestive endoscopic system assisted diagnosis on colonic polyps and influencing factors analysis [J]. Chinese Journal of Robotic Surgery, 2024, 5(3): 478-483.

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