Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review

作者：

Highlights：

• Systematic literature review on objective and automated assessment of surgical technical skills.

• 537 papers published after 2013 screened and 101 analyzed in detail.

• Main sensors: mechanical/electromagnetic for tool tracking and IMU for body tracking.

• Indicators (e.g., path length, smoothness) to distinguish between levels of expertise.

• SVM and Neural Networks are the main methods/algorithms for processing the data.

摘要

•Systematic literature review on objective and automated assessment of surgical technical skills.•537 papers published after 2013 screened and 101 analyzed in detail.•Main sensors: mechanical/electromagnetic for tool tracking and IMU for body tracking.•Indicators (e.g., path length, smoothness) to distinguish between levels of expertise.•SVM and Neural Networks are the main methods/algorithms for processing the data.

论文关键词：Technical skills,Surgery,IoT,Sensors,Statistical methods,Algorithms,Literature review

论文评审过程：Received 27 August 2020, Revised 25 November 2020, Accepted 28 December 2020, Available online 5 January 2021, Version of Record 12 January 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.102007