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Machine learning: principles and applications for thoracic surgery.

Nicolai P OstbergMohammad A ZafarJohn A Elefteriades
Published in: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery (2021)
In the future, the practice of cardiac surgery will be greatly augmented by ML technologies, ultimately leading to improved surgical performance and better patient outcomes.
Keyphrases
  • thoracic surgery
  • cardiac surgery
  • machine learning
  • acute kidney injury
  • primary care
  • current status
  • healthcare
  • artificial intelligence
  • big data
  • quality improvement
  • deep learning
  • virtual reality