机器人外科学杂志（中英文）2024，Vol.5Issue(3)：478-483,6.DOI:10.12180/j.issn.2096-7721.2024.03.027
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
Clinical application of AI digestive endoscopic system assisted diagnosis on colonic polyps and influencing factors analysis
摘要
Abstract
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.关键词
人工智能消化内镜系统/结肠息肉/辅助诊断/检出率/影响因素Key words
Artificial Intelligence Digestive Endoscopic System/Colonic Polyps/Assisted Diagnosis/Detection Rate/Influencing Factor分类
医药卫生引用本文复制引用
朱丽丽,石嫦娥,占俊,汪文生,唐敏,齐乐..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):478-483,6.基金项目
安徽医科大学临床医学学科建设项目基金(2020lcxk033) （2020lcxk033）
安徽省教育厅高等学校省级质量工程项目(2020jyxm0907) Clinical Medicine Discipline Construction Project Fund of Anhui Medical University(2020lcxk033) （2020jyxm0907）
Provine-level Quality Engineering Project for Higher Education Institutions of Anhui Education Department(2020jyxm0907) （2020jyxm0907）
