Current applications of artificial intelligence-based computer vision in laparoscopic surgery
Recent advances in artificial intelligence (AI) have sparked a surge in the application of computer vision (CV) in surgical video analysis. Laparoscopic surgery produces a large number of surgical videos, which provides a new opportunity for improving of CV technology in laparoscopic surgery. AI-bas...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-09-01
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| Series: | Laparoscopic, Endoscopic and Robotic Surgery |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468900923000403 |
| _version_ | 1797670284318212096 |
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| author | Kangwei Guo Haisu Tao Yilin Zhu Baihong Li Chihua Fang Yinling Qian Jian Yang |
| author_facet | Kangwei Guo Haisu Tao Yilin Zhu Baihong Li Chihua Fang Yinling Qian Jian Yang |
| author_sort | Kangwei Guo |
| collection | DOAJ |
| description | Recent advances in artificial intelligence (AI) have sparked a surge in the application of computer vision (CV) in surgical video analysis. Laparoscopic surgery produces a large number of surgical videos, which provides a new opportunity for improving of CV technology in laparoscopic surgery. AI-based CV techniques may leverage these surgical video data to develop real-time automated decision support tools and surgeon training systems, which shows a new direction in dealing with the shortcomings of laparoscopic surgery. The effectiveness of CV applications in surgical procedures is still under early evaluation, so it is necessary to discuss challenges and obstacles. The review introduced the commonly used deep learning algorithms in CV and described their usage in detail in four application scenes, including phase recognition, anatomy detection, instrument detection and action recognition in laparoscopic surgery. The currently described applications of CV in laparoscopic surgery are limited. Most of the current research focuses on the identification of workflow and anatomical structure, while the identification of instruments and surgical actions is still awaiting further breakthroughs. Future research on the use of CV in laparoscopic surgery should focus on applications in more scenarios, such as surgeon skill assessment and the development of more efficient models. |
| first_indexed | 2024-03-11T20:57:28Z |
| format | Article |
| id | doaj.art-2740b23e82f749bea5750e03617f5703 |
| institution | Directory Open Access Journal |
| issn | 2468-9009 |
| language | English |
| last_indexed | 2024-03-11T20:57:28Z |
| publishDate | 2023-09-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Laparoscopic, Endoscopic and Robotic Surgery |
| spelling | doaj.art-2740b23e82f749bea5750e03617f57032023-09-30T04:55:21ZengKeAi Communications Co., Ltd.Laparoscopic, Endoscopic and Robotic Surgery2468-90092023-09-01639196Current applications of artificial intelligence-based computer vision in laparoscopic surgeryKangwei Guo0Haisu Tao1Yilin Zhu2Baihong Li3Chihua Fang4Yinling Qian5Jian Yang6The First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou 510280, ChinaThe First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou 510280, ChinaThe Second Clinical Medical College of Southern Medical University, Guangzhou 510280, ChinaThe First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou 510280, ChinaThe First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou 510280, ChinaShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Corresponding author: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.The First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China; Guangdong Provincial Clinical and Engineering Center of Digital Medicine, Guangzhou 510280, China; Corresponding author: The First Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.Recent advances in artificial intelligence (AI) have sparked a surge in the application of computer vision (CV) in surgical video analysis. Laparoscopic surgery produces a large number of surgical videos, which provides a new opportunity for improving of CV technology in laparoscopic surgery. AI-based CV techniques may leverage these surgical video data to develop real-time automated decision support tools and surgeon training systems, which shows a new direction in dealing with the shortcomings of laparoscopic surgery. The effectiveness of CV applications in surgical procedures is still under early evaluation, so it is necessary to discuss challenges and obstacles. The review introduced the commonly used deep learning algorithms in CV and described their usage in detail in four application scenes, including phase recognition, anatomy detection, instrument detection and action recognition in laparoscopic surgery. The currently described applications of CV in laparoscopic surgery are limited. Most of the current research focuses on the identification of workflow and anatomical structure, while the identification of instruments and surgical actions is still awaiting further breakthroughs. Future research on the use of CV in laparoscopic surgery should focus on applications in more scenarios, such as surgeon skill assessment and the development of more efficient models.http://www.sciencedirect.com/science/article/pii/S2468900923000403Artificial intelligenceComputer visionDeep learningLaparoscopic surgery |
| spellingShingle | Kangwei Guo Haisu Tao Yilin Zhu Baihong Li Chihua Fang Yinling Qian Jian Yang Current applications of artificial intelligence-based computer vision in laparoscopic surgery Laparoscopic, Endoscopic and Robotic Surgery Artificial intelligence Computer vision Deep learning Laparoscopic surgery |
| title | Current applications of artificial intelligence-based computer vision in laparoscopic surgery |
| title_full | Current applications of artificial intelligence-based computer vision in laparoscopic surgery |
| title_fullStr | Current applications of artificial intelligence-based computer vision in laparoscopic surgery |
| title_full_unstemmed | Current applications of artificial intelligence-based computer vision in laparoscopic surgery |
| title_short | Current applications of artificial intelligence-based computer vision in laparoscopic surgery |
| title_sort | current applications of artificial intelligence based computer vision in laparoscopic surgery |
| topic | Artificial intelligence Computer vision Deep learning Laparoscopic surgery |
| url | http://www.sciencedirect.com/science/article/pii/S2468900923000403 |
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