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Assessing the Precision of Surgery Duration Estimation: A Retrospective Study.

Afnan AljaffaryFatimah AlAnsariAbdulaleem AlatassiMohammed AlSuhaibaniAmmar K AlOmran
Published in: Journal of multidisciplinary healthcare (2023)
It is recommended to enhance the surgical scheduling method using machine learning (ML) models to include patient characteristics, department, anesthesia type, and even the performing surgeon increases the accuracy of duration estimation. Then, evaluate the performance of an ML model in future studies.
Keyphrases
  • minimally invasive
  • coronary artery bypass
  • case report
  • robot assisted
  • tertiary care
  • case control
  • acute coronary syndrome
  • percutaneous coronary intervention