Literature DB >> 21815238

Evolution of autonomous and semi-autonomous robotic surgical systems: a review of the literature.

G P Moustris1, S C Hiridis, K M Deliparaschos, K M Konstantinidis.   

Abstract

BACKGROUND: Autonomous control of surgical robotic platforms may offer enhancements such as higher precision, intelligent manoeuvres, tissue-damage avoidance, etc. Autonomous robotic systems in surgery are largely at the experimental level. However, they have also reached clinical application.
METHODS: A literature review pertaining to commercial medical systems which incorporate autonomous and semi-autonomous features, as well as experimental work involving automation of various surgical procedures, is presented. Results are drawn from major databases, excluding papers not experimentally implemented on real robots.
RESULTS: Our search yielded several experimental and clinical applications, describing progress in autonomous surgical manoeuvres, ultrasound guidance, optical coherence tomography guidance, cochlear implantation, motion compensation, orthopaedic, neurological and radiosurgery robots.
CONCLUSION: Autonomous and semi-autonomous systems are beginning to emerge in various interventions, automating important steps of the operation. These systems are expected to become standard modality and revolutionize the face of surgery.
Copyright © 2011 John Wiley & Sons, Ltd.

Mesh:

Year:  2011        PMID: 21815238     DOI: 10.1002/rcs.408

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  33 in total

Review 1.  Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.

Authors:  Yohannes Kassahun; Bingbin Yu; Abraham Temesgen Tibebu; Danail Stoyanov; Stamatia Giannarou; Jan Hendrik Metzen; Emmanuel Vander Poorten
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-08       Impact factor: 2.924

2.  An automated insertion tool for cochlear implants with integrated force sensing capability.

Authors:  Jan-Philipp Kobler; Daniel Beckmann; Thomas S Rau; Omid Majdani; Tobias Ortmaier
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-05       Impact factor: 2.924

3.  Accurate three-dimensional virtual reconstruction of surgical field using calibrated trajectories of an image-guided medical robot.

Authors:  Yuanzheng Gong; Danying Hu; Blake Hannaford; Eric J Seibel
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-02

Review 4.  Toward versatile cooperative surgical robotics: a review and future challenges.

Authors:  Philipp Schleer; Sergey Drobinsky; Matias de la Fuente; Klaus Radermacher
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-03-04       Impact factor: 2.924

Review 5.  Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery.

Authors:  Ziheng Wang; Ann Majewicz Fey
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-09-25       Impact factor: 2.924

6.  Toward increased autonomy in the surgical OR: needs, requests, and expectations.

Authors:  Michael Kranzfelder; Christoph Staub; Adam Fiolka; Armin Schneider; Sonja Gillen; Dirk Wilhelm; Helmut Friess; Alois Knoll; Hubertus Feussner
Journal:  Surg Endosc       Date:  2012-12-13       Impact factor: 4.584

7.  Robotics in HPB surgery.

Authors:  Thomas Hanna; Charles Imber
Journal:  Ann R Coll Surg Engl       Date:  2018-05       Impact factor: 1.891

8.  Adaptive Fusion-Based Autonomous Laparoscope Control for Semi-Autonomous Surgery.

Authors:  Yanwen Sun; Bo Pan; Shuizhong Zou; Yili Fu
Journal:  J Med Syst       Date:  2019-11-23       Impact factor: 4.460

9.  ROS-IGTL-Bridge: an open network interface for image-guided therapy using the ROS environment.

Authors:  Tobias Frank; Axel Krieger; Simon Leonard; Niravkumar A Patel; Junichi Tokuda
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-05-31       Impact factor: 2.924

10.  Artificial intelligence in cardiothoracic surgery.

Authors:  Roger D Dias; Julie A Shah; Marco A Zenati
Journal:  Minerva Cardioangiol       Date:  2020-09-29       Impact factor: 1.347

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