The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature

被引：28

作者：

Gumbs, Andrew A. ^{[1
,2
]}

Grasso, Vincent ^{[3
]}

Bourdel, Nicolas ^{[4
,5
,6
]}

Croner, Roland ^{[2
]}

Spolverato, Gaya ^{[7
]}

Frigerio, Isabella ^{[8
]}

Illanes, Alfredo ^{[9
]}

Abu Hilal, Mohammad ^{[10
]}

Park, Adrian ^{[11
]}

Elyan, Eyad ^{[12
]}

机构：

[1] Ctr Hosp Intercommunal, Poissy St Germain En Laye, Dept Chirurg Digest, F-78300 Poissy, France

[2] Univ Magdeburg, Dept Surg, D-39106 Magdeburg, Germany

[3] Family Christian Hlth Ctr, 31 West 155th St, Harvey, IL 60426 USA

[4] CHU Clermont Ferrand, Gynecol Surg Dept, 1 Pl Lucie Aubrac Clermont Ferrand, F-63100 Clermont Ferrand, France

[5] Clermont Ferrand Univ Hosp, CNRS, UMR6602, UCA,EnCoV,Inst Pascal, F-63000 Clermont Ferrand, France

[6] SurgAR Surg Augmented Real, F-63000 Clermont Ferrand, France

[7] Univ Padua, Dept Surg Oncol & Gastroenterol Sci, I-35122 Padua, Italy

[8] Pederzoli Hosp, Dept Hepatopancreatobiliary Surg, I-37019 Peschiera Del Garda, Italy

[9] Otto von Guericke Univ, INKA Innovat Lab Image Guided Therapy, D-39120 Magdeburg, Germany

[10] Fdn Poliambulanza Ist Osped, Unita Chirurg Epatobiliopancreat Robot & Mininvas, Via Bissolati 57, I-25124 Brescia, Italy

[11] Johns Hopkins Univ, Anne Arundel Med Ctr, Annapolis, MD 21401 USA

[12] Robert Gordon Univ, Sch Comp, Aberdeen AB10 7JG, Scotland

来源：

SENSORS | 2022年 / 22卷 / 13期

关键词：

artificial intelligence surgery; autonomous actions; computer vision; deep learning; machine learning; AUGMENTED REALITY; ROBOTIC TOOLS; RECOGNITION;

D O I：

10.3390/s22134918

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, "Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?" As opposed to that article that also discussed issues of machine learning, deep learning and natural language processing, this review will delve deeper into the field of CV. Additionally, non-visual forms of data that can aid computerized robots in the performance of more autonomous actions, such as instrument priors and audio haptics, will also be highlighted. Furthermore, the current existential crisis for surgeons, endoscopists and interventional radiologists regarding more autonomy during procedures will be discussed. In summary, this paper will discuss how to harness the power of CV to keep doctors who do interventions in the loop.

引用

页数：21

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