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2020 Frank Stinchfield Award: Identifying who will fail following irrigation and debridement for prosthetic joint infection.

Noam ShohatKaran GoswamiTimothy L TanMichael YayacAlex SorianoRicardo SousaMarjan Wouthuyzen-BakkerJavad Parvizinull null
Published in: The bone & joint journal (2020)
This is the first study in the orthopaedic literature to use machine learning as a tool for predicting outcomes following I&D surgery. The developed algorithm provides the medical profession with a tool that can be employed in clinical decision-making and improve patient care. Future studies should aid in further validating this tool on additional cohorts. Cite this article: Bone Joint J 2020;102-B(7 Supple B):11-19.
Keyphrases
  • machine learning
  • decision making
  • minimally invasive
  • systematic review
  • healthcare
  • deep learning
  • coronary artery bypass
  • artificial intelligence
  • current status
  • bone loss