Semiautomated Motion Tracking for Objective Skills Assessment in Otologic Surgery: A Pilot Study

Clicks: 224
ID: 52133
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Perioperative teaching and feedback of technical performance are essential during surgical training but are limited by competing demands on faculty time, resident work-hour restrictions, and desire for efficient operating room utilization. The increasing use of high-definition video microscopy and endoscopy in otolaryngology offers opportunities for trainees and faculty to evaluate performance outside the operating room but still requires faculty time. Our hypothesis is that automated motion tracking via video analysis offers a way forward to provide more consistent and objective feedback for surgical trainees. In this study, otolaryngology trainees at various levels were recorded performing a cortical mastoidectomy on cadaveric temporal bones using standard surgical instrumentation and high-definition video cameras coupled to an operating microscope. Videos were postprocessed to automatically track the tip of otologic dissection instruments. Data were analyzed for key metrics potentially applicable to the global rating scale used in the Accreditation Council for Graduate Medical Education’s Objective Structured Assessments of Technical Skills.
Reference Key
md2019semiautomatedoto Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors MD, Vivek V. Kanumuri;Ameen, Bishoy;MD, Osama Tarabichi;MD, Elliott D. Kozin;MD, Daniel J. Lee;
Journal OTO open
Year 2019
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.