实用临床医药杂志2024，Vol.28Issue(23)：16-19,26,5.DOI:10.7619/jcmp.20243116
人工智能对内镜医师疲劳状态下结直肠腺瘤检出率的影响
Impact of artificial intelligence on colorectal adenoma detection rate in fatigue state of endoscopists
摘要
Abstract
Objective To analyze the impact of artificial intelligence(AI)on colorectal adenoma detection rate(ADR)in fatigue state of endoscopists.Methods A total of 784 patients undergoing colonoscopy at the Endoscopy Center of Hengshui People's Hospital in Hebei Province were enrolled.Patients were divided into group A(n=405,time from 14:00 to 15:59)and group B(n=379,time from 16:00 to 17:30)based on the operation time.Patients in both groups who underwent AI-assisted examination were included in AI subgroup,while those without AI assistance were included in non-AI subgroup.Baseline data,including age,gender and bowel preparation quality[assessed by the Boston Bowel Preparation Scale(BBPS)score]were collected.The ADR and polyp detection rate(PDR)for colorectal lesions were calculated for both groups,and the ADR was compared between groups with and without AI assistance.Results The overall ADR was 32.10％in the group A,which was higher than 26.91％in the group B,but the difference was not statistically significant(P＞0.05).Without AI assistance,the ADR in the group A was 25.85％,which was significantly higher than 17.30％in the group B(P＜0.05).In the group B with AI assistance,the ADR was significant-ly higher than that in the group A without AI assistance(P＜0.05).Without AI assistance,the PDR in the group A was 33.17％,which was significantly higher than 22.70％in the group B(P＜0.05).After using AI assistance,there was no significant difference in PDR between the two groups(P＞0.05).In the group A,the ADR was 38.50％in the AI subgroup(n=200)and 25.80％in the non-AI subgroup(n=205),with a statistically significant difference(P=0.006).In the group B,the ADR was 36.08％in the AI subgroup(n=194)and 17.30％in the non-AI subgroup(n=185),with a statistically significant difference(P＜0.001).Conclusion AI-assisted colonoscopy can effectively improve the ADR of endoscopists under fatigue conditions.关键词
人工智能/疲劳状态/结肠镜/结直肠腺瘤/腺瘤检出率Key words
artificial intelligence/fatigue state/colonoscopy/colorectal adenoma/adenoma detection rate分类
医药卫生引用本文复制引用
张丽贤,陈倩,刘颖,孙悦,卢冀超,董梁,尹平,王丽华..人工智能对内镜医师疲劳状态下结直肠腺瘤检出率的影响[J].实用临床医药杂志,2024,28(23):16-19,26,5.基金项目
河北省衡水市市级科技计划自筹项目(2020014046Z) （2020014046Z）
