Literature DB >> 26556643

Affordable, web-based surgical skill training and evaluation tool.

Gazi Islam1, Kanav Kahol2, Baoxin Li3, Marshall Smith4, Vimla L Patel5.   

Abstract

Advances in the medical field have increased the need to incorporate modern techniques into surgical resident training and surgical skills learning. To facilitate this integration, one approach that has gained credibility is the incorporation of simulator based training to supplement traditional training programs. However, existing implementations of these training methods still require the constant presence of a competent surgeon to assess the surgical dexterity of the trainee, which limits the evaluation methods and relies on subjective evaluation. This research proposes an efficient, effective, and economic video-based skill assessment technique for minimally invasive surgery (MIS). It analyzes a surgeon's hand and surgical tool movements and detects features like smoothness, efficiency, and preciseness. The system is capable of providing both real time on-screen feedback and a performance score at the end of the surgery. Finally, we present a web-based tool where surgeons can securely upload MIS training videos and receive evaluation scores and an analysis of trainees' performance trends over time.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Computer vision; Feature detection; Skill assessment; Surgery; Web-based evaluation tool

Mesh:

Year:  2015        PMID: 26556643     DOI: 10.1016/j.jbi.2015.11.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  9 in total

1.  Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.

Authors:  Hassan Ismail Fawaz; Germain Forestier; Jonathan Weber; Lhassane Idoumghar; Pierre-Alain Muller
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-30       Impact factor: 2.924

2.  Surgical skills: Can learning curves be computed from recordings of surgical activities?

Authors:  Germain Forestier; Laurent Riffaud; François Petitjean; Pierre-Louis Henaux; Pierre Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-03-03       Impact factor: 2.924

Review 3.  Video content analysis of surgical procedures.

Authors:  Constantinos Loukas
Journal:  Surg Endosc       Date:  2017-10-26       Impact factor: 4.584

Review 4.  Objective Assessment of Surgical Technical Skill and Competency in the Operating Room.

Authors:  S Swaroop Vedula; Masaru Ishii; Gregory D Hager
Journal:  Annu Rev Biomed Eng       Date:  2017-03-27       Impact factor: 9.590

5.  Creating a low-cost virtual reality surgical simulation to increase surgical oncology capacity and capability.

Authors:  Groesbeck Parham; Eric G Bing; Anthony Cuevas; Boris Fisher; Jonathan Skinner; Mulindi Mwanahamuntu; Richard Sullivan
Journal:  Ecancermedicalscience       Date:  2019-03-18

6.  Movement-level process modeling of microsurgical bimanual and unimanual tasks.

Authors:  Jani Koskinen; Antti Huotarinen; Antti-Pekka Elomaa; Bin Zheng; Roman Bednarik
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-12-15       Impact factor: 2.924

Review 7.  Machine learning for technical skill assessment in surgery: a systematic review.

Authors:  Kyle Lam; Junhong Chen; Zeyu Wang; Fahad M Iqbal; Ara Darzi; Benny Lo; Sanjay Purkayastha; James M Kinross
Journal:  NPJ Digit Med       Date:  2022-03-03

8.  Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics.

Authors:  Irfan Kil; John F Eidt; Richard E Groff; Ravikiran B Singapogu
Journal:  Front Med (Lausanne)       Date:  2022-08-30

9.  Surgical Performance Analysis and Classification Based on Video Annotation of Laparoscopic Tasks.

Authors:  Constantinos Loukas; Athanasios Gazis; Meletios A Kanakis
Journal:  JSLS       Date:  2020 Oct-Dec       Impact factor: 2.172

  9 in total

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