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

doi:10.1007/s11548-023-03027-5

CASIA OpenIR > 紫东太初大模型研究中心

	Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer
	Zhai, Yuhao 1,2; Chen, Zhen 3; Zheng, Zhi 1,2; Wang, Xi 1,2; Yan, Xiaosheng 1,2; Liu, Xiaoye 1,2; Yin, Jie 1,2; Wang, Jinqiao3,4,5 ; Zhang, Jun 1,2
发表期刊	INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
ISSN	1861-6410
	2023-11-02
页码	9
通讯作者	Wang, Jinqiao(jqwang@nlpr.ia.ac.cn) ; Zhang, Jun(zhangjun5986@ccmu.edu.cn)
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.
关键词	Artificial intelligence Gastric cancer Surgical phase
DOI	10.1007/s11548-023-03027-5
关键词[WOS]	WORKFLOW RECOGNITION
收录类别	SCI
语种	英语
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
项目资助者	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
WOS研究方向	Engineering ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
WOS类目	Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
WOS记录号	WOS:001091527600001
出版者	SPRINGER HEIDELBERG
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/54443
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.Capital Med Univ, Beijing Friendship Hosp, Dept Gen Surg, 95 Yongan Rd, Beijing, Peoples R China 2.State Key Lab Digest Hlth, Beijing, Peoples R China 3.Chinese Acad Sci, Hong Kong Inst Sci & Innovat, Ctr Artificial Intelligence & Robot CAIR, Hong Kong, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhongguancun East Rd, Beijing, Peoples R China 5.Wuhan AI Res, Wuhan, Peoples R China
通讯作者单位	模式识别国家重点实验室
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.