人工智能支持的外科解剖识别系统可以促进医学生对胃肠外科的理解。

IF 2.7 2区 医学 Q2 SURGERY
Shintaro Okumura, Shigeru Tsunoda, Shigeo Hisamori, Shoichi Kitano, Kohei Ueno, Masazumi Sakaguchi, Yu Yoshida, Takashi Sakamoto, Takehito Yamamoto, Ryosuke Okamura, Keiko Kasahara, Masahiro Maeda, Nobuaki Hoshino, Yoshiro Itatani, Koya Hida, Kazutaka Obama
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引用次数: 0

摘要

背景:尽管人工智能(AI)在外科解剖识别方面具有很高的准确性,但其有效使用尚不清楚。在这项研究中,我们调查了人工智能在医学生外科教育中的应用。方法:招募五年级医学生,调查EUREKA™的教育效用。在介绍性讲座之后,他们观看了一段由EUREKA™提供或不提供结缔组织和胰腺建议的远端胃切除术视频,然后在视频中捕获的静态图像中绘制解剖线。综合学生绘制的线与专家外科医生确定的最佳剥离线之间的距离,评估学生正确识别剥离线的程度。研究结束后,学生们填写了调查问卷。分析了三种不同机器人系统进行根治性胃切除术的45个手术视频帧。使用Dice和Intersection over Union (IoU)作为测量工具评估EUREKA™识别结缔组织和胰腺的准确性。结果:12名学生参与研究,9名学生绘制解剖线。所有学生都完成了问卷调查。通过EUREKA™建议,学生可以更准确地识别解剖线,学生绘制的解剖线与最佳解剖线之间的偏差显著减少。在学生完成的问卷中,有8名学生认为AI有可能帮助他们更好地理解手术,2名学生认为AI有可能增加选择胃肠外科作为职业的医学生的数量。三种机器人系统之间结缔组织和胰腺的DICE和IoU评分没有差异,表明EUREKA™系统的多功能性。结论:人工智能可以促进学生对外科的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence-supported system of surgical anatomy recognition may facilitate the understanding of gastrointestinal surgery for medical students.

Background: Although the high accuracy of artificial intelligence (AI) for recognizing surgical anatomy has been reported, its effective usage remains unclear. In this study, we investigated the utility of AI in surgical education for medical students.

Methods: Fifth-grade medical students were recruited to investigate the educational utility of EUREKA™. After an introductory lecture, they watched a video of distal gastrectomy with or without the suggestion of the connective tissue and the pancreas by EUREKA™ and then drew dissection lines in still images captured from the video. The distance between the lines drawn by students and the optimal dissection line determined by an expert surgeon was integrated to evaluate how well the students appropriately recognized the dissection line. Students filled out questionnaires after the study. A total of 45 operative video frames from radical gastrectomies performed with three different robotic systems were analyzed. The accuracy of the EUREKA™ recognition of the connective tissue and the pancreas was assessed using Dice and Intersection over Union (IoU) as a measurement tool.

Results: Twelve students participated in the study, and nine students drew dissection lines. All students completed questionnaires. The students could recognize dissection lines more appropriately with the EUREKA™ suggestion, and the deviations between the dissection lines drawn by the students and the optimal dissection lines were significantly reduced. From the questionnaires completed by the students, eight students agreed with the possibility of AI to facilitate their understanding of the operation, and two students agreed with the potential of AI to increase the number of medical students who choose gastrointestinal surgery as their career. There were no differences in the DICE and IoU scores of the connective tissue and the pancreas between the three robotic systems, suggesting the versatility of the EUREKA™ system.

Conclusion: AI may facilitate students' understanding of surgery.

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来源期刊
CiteScore
6.10
自引率
12.90%
发文量
890
审稿时长
6 months
期刊介绍: Uniquely positioned at the interface between various medical and surgical disciplines, Surgical Endoscopy serves as a focal point for the international surgical community to exchange information on practice, theory, and research. Topics covered in the journal include: -Surgical aspects of: Interventional endoscopy, Ultrasound, Other techniques in the fields of gastroenterology, obstetrics, gynecology, and urology, -Gastroenterologic surgery -Thoracic surgery -Traumatic surgery -Orthopedic surgery -Pediatric surgery
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