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Defining the learning curve of robotic thoracic surgery: what does it take?

Alexandra D PowerDesmond M D'SouzaSusan D Moffatt-BruceRobert E MerrittPeter J Kneuertz
Published in: Surgical endoscopy (2019)
The learning curve for robotic thoracic surgery appears to be rapid with most studies indicating the steepest improvement in operating time occurring in the initial 15-20 cases for thymectomy and 20-40 cases for anatomic lung resection. Existing data can guide a standardized robotic curriculum for rapid adaptation, and aid credentialing and quality monitoring for robotic thoracic surgery programs.
Keyphrases
  • thoracic surgery
  • minimally invasive
  • robot assisted
  • quality improvement
  • public health
  • electronic health record
  • loop mediated isothermal amplification
  • deep learning
  • data analysis