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Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol.

Joanna F DipnallRichard PageLan DuMatthew CostaRonan A LyonsPeter CameronRichard de SteigerRaphael HauAndrew BucknillAndrew OppyElton EdwardsDinesh VarmaMyong Chol JungBelinda Jane Gabbe
Published in: PloS one (2021)
The PRAISE study will establish the use of AI techniques to provide enhanced information about fracture characteristics in people with wrist fractures. Prediction models using AI derived characteristics are expected to provide better prediction of clinical and patient-reported outcomes following distal radius fracture.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • patient reported
  • deep learning
  • study protocol
  • randomized controlled trial
  • clinical trial
  • healthcare
  • electronic health record
  • social media
  • open label
  • double blind