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Automated video-based assessment of surgical skills for training and evaluation in medical schools

Automated video-based assessment of surgical skills for training and evaluation in medical schools Int J CARS (2016) 11:1623–1636 DOI 10.1007/s11548-016-1468-2 ORIGINAL ARTICLE Automated video-based assessment of surgical skills for training and evaluation in medical schools 1 1 1 2 Aneeq Zia · Yachna Sharma · Vinay Bettadapura · Eric L. Sarin · 3 1 1 Thomas Ploetz · Mark A. Clements · Irfan Essa Received: 27 January 2016 / Accepted: 3 August 2016 / Published online: 27 August 2016 © CARS 2016 Abstract with motion granularity as demonstrated by our results on Purpose Routine evaluation of basic surgical skills in med- two challenging video datasets. ical schools requires considerable time and effort from supervising faculty. For each surgical trainee, a supervisor Keywords Surgical skill · Classification · Feature modeling has to observe the trainees in person. Alternatively, super- visors may use training videos, which reduces some of the logistical overhead. All these approaches however are still Introduction incredibly time consuming and involve human bias. In this paper, we present an automated system for surgical skills Surgical skill development, i.e., the process of gaining exper- assessment by analyzing video data of surgical activities. tise in procedures and techniques required for professional Method We compare different techniques for video-based surgery, represents an essential part http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Assisted Radiology and Surgery Springer Journals

Automated video-based assessment of surgical skills for training and evaluation in medical schools

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References (30)

Publisher
Springer Journals
Copyright
Copyright © 2016 by CARS
Subject
Medicine & Public Health; Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general
ISSN
1861-6410
eISSN
1861-6429
DOI
10.1007/s11548-016-1468-2
pmid
27567917
Publisher site
See Article on Publisher Site

Abstract

Int J CARS (2016) 11:1623–1636 DOI 10.1007/s11548-016-1468-2 ORIGINAL ARTICLE Automated video-based assessment of surgical skills for training and evaluation in medical schools 1 1 1 2 Aneeq Zia · Yachna Sharma · Vinay Bettadapura · Eric L. Sarin · 3 1 1 Thomas Ploetz · Mark A. Clements · Irfan Essa Received: 27 January 2016 / Accepted: 3 August 2016 / Published online: 27 August 2016 © CARS 2016 Abstract with motion granularity as demonstrated by our results on Purpose Routine evaluation of basic surgical skills in med- two challenging video datasets. ical schools requires considerable time and effort from supervising faculty. For each surgical trainee, a supervisor Keywords Surgical skill · Classification · Feature modeling has to observe the trainees in person. Alternatively, super- visors may use training videos, which reduces some of the logistical overhead. All these approaches however are still Introduction incredibly time consuming and involve human bias. In this paper, we present an automated system for surgical skills Surgical skill development, i.e., the process of gaining exper- assessment by analyzing video data of surgical activities. tise in procedures and techniques required for professional Method We compare different techniques for video-based surgery, represents an essential part

Journal

International Journal of Computer Assisted Radiology and SurgerySpringer Journals

Published: Aug 27, 2016

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