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An explainable machine learning method for assessing surgical skill in liposuction surgery.

Sutuke YibulayimuYuneng WangYanzhen LiuZhibin SunYu WangHaiyue JiangFacheng Li
Published in: International journal of computer assisted radiology and surgery (2022)
Our results demonstrate the strong abilities of explainable machine learning methods in objective surgical skill assessment. We believe that the machine learning model based on interpretive methods proposed in this article can improve the evaluation and training of liposuction surgery and provide objective assessment and training guidance for other surgeries.
Keyphrases
  • machine learning
  • minimally invasive
  • coronary artery bypass
  • artificial intelligence
  • big data
  • surgical site infection
  • virtual reality
  • percutaneous coronary intervention