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Surgical data science and artificial intelligence for surgical education.

Thomas M WardPietro MascagniAmin MadaniNicolas PadoySilvana PerrettaDaniel A Hashimoto
Published in: Journal of surgical oncology (2021)
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • deep learning
  • healthcare
  • electronic health record
  • public health
  • minimally invasive
  • quality improvement
  • atrial fibrillation
  • social media
  • health information