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Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer

文献类型：期刊论文

作者Zhai, Yuhao4,5; Chen, Zhen3; Zheng, Zhi4,5; Wang, Xi4,5; Yan, Xiaosheng4,5; Liu, Xiaoye4,5; Yin, Jie4,5; Wang, Jinqiao1,2,3; Zhang, Jun4,5
刊名INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
出版日期2023-11-02
页码9
ISSN号1861-6410
关键词Artificial intelligence Gastric cancer Surgical phase
DOI10.1007/s11548-023-03027-5
通讯作者Wang, Jinqiao(jqwang@nlpr.ia.ac.cn) ; Zhang, Jun(zhangjun5986@ccmu.edu.cn)
英文摘要PurposeThis study aimed to classify laparoscopic gastric cancer phases. We also aimed to develop a transformer-based artificial intelligence (AI) model for automatic surgical phase recognition and to evaluate the model's performance using laparoscopic gastric cancer surgical videos.MethodsOne hundred patients who underwent laparoscopic surgery for gastric cancer were included in this study. All surgical videos were labeled and classified into eight phases (P0. Preparation. P1. Separate the greater gastric curvature. P2. Separate the distal stomach. P3. Separate lesser gastric curvature. P4. Dissect the superior margin of the pancreas. P5. Separation of the proximal stomach. P6. Digestive tract reconstruction. P7. End of operation). This study proposed an AI phase recognition model consisting of a convolutional neural network-based visual feature extractor and temporal relational transformer.ResultsA visual and temporal relationship network was proposed to automatically perform accurate surgical phase prediction. The average time for all surgical videos in the video set was 9114 +/- 2571 s. The longest phase was at P1 (3388 s). The final research accuracy, F1, recall, and precision were 90.128, 87.04, 87.04, and 87.32%, respectively. The phase with the highest recognition accuracy was P1, and that with the lowest accuracy was P2.ConclusionAn AI model based on neural and transformer networks was developed in this study. This model can identify the phases of laparoscopic surgery for gastric cancer accurately. AI can be used as an analytical tool for gastric cancer surgical videos.
WOS关键词WORKFLOW RECOGNITION
资助项目National Key R&D Program of China[2022ZD0160601] ; National Natural Science Foundation of China[62276260] ; National Natural Science Foundation of China[61976210] ; National Natural Science Foundation of China[62076235] ; National Natural Science Foundation of China[62176254] ; National Natural Science Foundation of China[62006230] ; National Natural Science Foundation of China[62206283] ; National Natural Science Foundation of China[82300646] ; Beijing Natural Science Foundation[7232334] ; Beijing Municipal Science & Technology Commission[D17100006517003] ; Beijing Municipal Administration of Hospitals Incubating Program[PX2020001] ; Beijing Municipal Administration of Hospitals Incubating Program[PX20240103] ; InnoHK program
WOS研究方向Engineering ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:001091527600001
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Beijing Municipal Science & Technology Commission ; Beijing Municipal Administration of Hospitals Incubating Program ; InnoHK program
源URL[http://ir.ia.ac.cn/handle/173211/54442]  
专题紫东太初大模型研究中心
通讯作者Wang, Jinqiao; Zhang, Jun
作者单位1.Wuhan AI Res, Wuhan, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhongguancun East Rd, Beijing, Peoples R China
3.Chinese Acad Sci, Hong Kong Inst Sci & Innovat, Ctr Artificial Intelligence & Robot CAIR, Hong Kong, Peoples R China
4.State Key Lab Digest Hlth, Beijing, Peoples R China
5.Capital Med Univ, Beijing Friendship Hosp, Dept Gen Surg, 95 Yongan Rd, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhai, Yuhao,Chen, Zhen,Zheng, Zhi,et al. Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,2023:9.
APA Zhai, Yuhao.,Chen, Zhen.,Zheng, Zhi.,Wang, Xi.,Yan, Xiaosheng.,...&Zhang, Jun.(2023).Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,9.
MLA Zhai, Yuhao,et al."Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2023):9.

入库方式： OAI收割

来源：自动化研究所

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