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

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-06-01 Epub Date: 2023-09-07 DOI:10.1007/s10354-023-01020-w
Peng An, Zhongqiu Wang
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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, χ2 = 11.23, P < 0.05), and a higher detection rate of lesions (51/52 vs. 41/53, χ2 = 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.

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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。
研究目的本研究旨在探讨基于人工智能的诊断和识别系统(AIDRS)在中国医学学士和外科学学士(MBBS)教学活动中的应用价值。研究评估了消化内科研究生在使用和未使用人工智能诊断与识别系统进行胃镜检查培训期间的学习表现:该研究于2018年3月至2022年3月在江苏省中医院和襄阳市第一人民医院招收32名消化内科专业研究生,将其随机分为AIDRS组(n=16)和非AIDRS组(n=16)。AIDRS组采用AIDRS软件实时监测胃镜检查盲区,辅助病灶诊断和识别。非 AIDRS 组仅实施传统胃镜手术。比较两组患者在胃镜检查过程中的最终表现评分、胃镜检查成功率、病灶检出率和疼痛评分。对两组学生进行了自编的教学满意度问卷调查:结果:AIDRS 组的最终成绩得分更高(92.60 ± 2.83 vs. 89.21 ± 3.57,t = 2.98,P 2 = 11.23,P 2 = 8.56,P 结论:AIDRS 组的最终成绩得分更高(92.60 ± 2.83 vs. 89.21 ± 3.57,t = 2.98,P 2 = 11.23,P 2 = 8.56):在医教合作背景下,AIDRS 为胃镜检查培训提供了有价值的帮助,提高了胃镜检查的成功率和教学满意度。AIDRS 值得大范围推广。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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