Artificial Intelligence in Minimally Invasive Surgery: Current State and Future Challenges

被引：0

作者：

Arakaki, Shintaro ^{[1
,2
]}

Takenaka, Shin ^{[1
]}

Sasaki, Kimimasa ^{[1
]}

Kitaguchi, Daichi ^{[1
,3
]}

Hasegawa, Hiro ^{[1
,3
]}

Takeshita, Nobuyoshi ^{[1
,3
]}

Takatsuki, Mitsuhisa ^{[2
]}

Ito, Masaaki ^{[1
,3
]}

机构：

[1] Natl Canc Ctr Hosp East, Dept Promot Med Device Innovat, Kashiwa, Chiba, Japan

[2] Univ Ryukyus, Grad Sch Med, Dept Digest & Gen Surg, Nishihara, Okinawa, Japan

[3] Natl Canc Ctr Hosp East, Dept Colorectal Surg, Kashiwa, Chiba, Japan

来源：

JMA JOURNAL | 2025年 / 8卷 / 01期

关键词：

Artificial Intelligence; Surgery; Computer Vision; Automated Surgical Skill Evaluation; Machine Learning; Deep Learning; Computer-Assisted Surgery; AICS; INJURY;

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Recent advancements in artificial intelligence (AI) have markedly affected various fields, with notable progress in surgery. This study explores the integration of AI in surgery, particularly focusing on minimally invasive surgery (MIS), where highquality surgical videos provide fertile ground for computer vision (CV) technology applications. CV plays an important role in enhancing intraoperative decision-making through real-time image recognition. This study considers the challenges in clinical applications and future perspectives by reviewing the current state of AI in navigation during surgery, postoperative analysis, and automated surgical skill assessment.

引用

页码：86 / 90

页数：5

共 22 条

[1]

[Anonymous], Gene ID: 4549 [Internet]. Bethesda (MD): National Library of Medicine (US), National Center for Biotechnology Information

[2]

2004-[cited 2024 Apr 17]. Available from: https://www.ncbi.nlm.nih.gov/gene/4549

[3]

[Anonymous], 18. Pmda - Pharmaceuticals and Medical Devices Agency. [cited 2022 January 21]. Available from: https://www.pmda.go.jp/english/.

[4] MECHANISMS OF MAJOR BILIARY INJURY DURING LAPAROSCOPIC CHOLECYSTECTOMY [J].