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基于人工智能的诊断和识别系统在消化内科研究生胃镜培训中的应用价值:初步研究。

Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary study.

机构信息

Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu province hospital of Chinese medicine, 155 Hanzhong Road, 210029, Nanjing, Jiangsu, China.

Department of Radiology and gastroenterology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, 441000, Xiangyang, China.

出版信息

Wien Med Wochenschr. 2024 Jun;174(9-10):173-180. doi: 10.1007/s10354-023-01020-w. Epub 2023 Sep 7.

DOI:10.1007/s10354-023-01020-w
PMID:37676426
Abstract

OBJECTIVE

This study aimed to discuss the application value of an artificial intelligence-based diagnosis and recognition system (AIDRS) in the teaching activities for Bachelor of Medicine and Bachelor of Surgery (MBBS) in China. The learning performance of graduate students in gastroenterology during gastroscopy training with and without AIDRS was assessed.

METHODS

The study recruited 32 graduate students of the gastroenterology program at Jiangsu province hospital of Chinese medicine and Xiangyang No. 1 People's Hospital from March 2018 to March 2022 and randomly divided them into AIDRS (n = 16) and non-AIDRS (n = 16) groups. The AIDRS software was used for real-time monitoring of blind spots of gastroscopy to aid in lesion diagnosis and recognition in the AIDRS group. Only a conventional gastroscopic procedure was implemented in the non-AIDRS group. The final performance score, success rate of gastroscopy, lesion detection rate, and pain score of patients were compared between the two groups during gastroscopy. A self-prepared teaching and learning satisfaction questionnaire was administered to the two groups of students.

RESULTS

The AIDRS group had a higher final performance score (92.60 ± 2.83 vs. 89.21 ± 3.57, t = 2.98, P < 0.05), a higher success rate of gastroscopy (448/480 vs. 417/480, χ = 11.23, P < 0.05), and a higher detection rate of lesions (51/52 vs. 41/53, χ = 8.56, P < 0.05) compared with the non-AIDRS group. The pain scores of patients were lower in the AIDRS group than in the non-AIDRS group (3.40 [2.23, 3.98] vs. 4.45 [3.72, 4.75], Z = 3.04, P < 0.05). Besides, the average time for gastroscopy was lower in the AIDRS group than in the non-AIDRS group (7.15 ± 1.24 vs. 8.21 ± 1.26, t = 2.38, P = 0.02). The overall satisfaction level with the teaching program was higher in the AIDRS group (43.51 ± 2.29 vs. 40.93 ± 2.07, t = 3.33, P < 0.05).

CONCLUSION

In the context of medicine-education cooperation, AIDRS offered valuable assistance in gastroscopy training and increased the success rate of gastroscopy and teaching and learning satisfaction. AIDRS is worthy of wider-scale promotion.

摘要

目的

本研究旨在探讨基于人工智能的诊断和识别系统(AIDRS)在我国临床医学(MBBS)教学活动中的应用价值。评估使用和不使用 AIDRS 对消化内科研究生进行胃镜检查培训的学习表现。

方法

本研究于 2018 年 3 月至 2022 年 3 月招募了江苏省中医院和襄阳市第一人民医院消化内科的 32 名研究生,并将其随机分为 AIDRS 组(n=16)和非 AIDRS 组(n=16)。AIDRS 软件用于实时监测胃镜检查的盲区,以辅助病变诊断和识别。非 AIDRS 组仅进行常规胃镜检查。比较两组患者在胃镜检查过程中的最终表现评分、胃镜成功率、病变检出率和患者疼痛评分。两组学生均采用自制的教学满意度问卷进行调查。

结果

AIDRS 组的最终表现评分(92.60±2.83 分比 89.21±3.57 分,t=2.98,P<0.05)、胃镜成功率(448/480 比 417/480,χ²=11.23,P<0.05)和病变检出率(51/52 比 41/53,χ²=8.56,P<0.05)均高于非 AIDRS 组。与非 AIDRS 组相比,AIDRS 组患者的疼痛评分更低(3.40[2.23,3.98] 分比 4.45[3.72,4.75],Z=3.04,P<0.05)。此外,AIDRS 组的胃镜检查平均时间低于非 AIDRS 组(7.15±1.24 分比 8.21±1.26 分,t=2.38,P=0.02)。AIDRS 组对教学方案的总体满意度更高(43.51±2.29 分比 40.93±2.07 分,t=3.33,P<0.05)。

结论

在医学教育合作背景下,AIDRS 为胃镜检查培训提供了有价值的帮助,提高了胃镜检查成功率和教学满意度。AIDRS 值得更广泛的推广。

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