Automated robot-assisted surgical skill evaluation: Predictive analytics approach.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS

Published Date: Feb 1, 2018

Abstract

BACKGROUND: Surgical skill assessment has predominantly been a subjective task. Recently, technological advances such as robot-assisted surgery have created great opportunities for objective surgical evaluation. In this paper, we introduce a predictive framework for objective skill assessment based on movement trajectory data. Our aim is to build a classification framework to automatically evaluate the performance of surgeons with different levels of expertise.

Authors

Mahtab J Fard

Department of Industrial and Systems Engineering, Wayne State University, Detroit, Michigan, USA.
Sattar Ameri

Department of Industrial and Systems Engineering, Wayne State University, Detroit, Michigan, USA.
R Darin Ellis

Department of Industrial and Systems Engineering, Wayne State University, Detroit, Michigan, USA.
Ratna B Chinnam

Department of Industrial and Systems Engineering, Wayne State University, Detroit, Michigan, USA.
Abhilash K Pandya
Michael D Klein

Department of Surgery, Wayne State University School of Medicine and Pediatric Surgery, Children's Hospital of Michigan, Detroit, Michigan, USA.

Keywords

Clinical Competence Data Mining Electronic Data Processing Equipment Design Humans Machine Learning Motion Movement Regression Analysis Reproducibility of Results Robotic Surgical Procedures Support Vector Machine Surgeons Suture Techniques Sutures Task Performance and Analysis

External Resources

View on PubMed Access via DOI PubMed (28660725)

Automated robot-assisted surgical skill evaluation: Predictive analytics approach.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals