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Diagnostic Performance of Artificial Intelligence for Detection of Scaphoid and Distal Radius Fractures: A Systematic Review.

Jacob F OedingKyle N KunzeCaden J MesserAyoosh PareekDuretti T FufaNicholas PulosPeter C Rhee
Published in: The Journal of hand surgery (2024)
AI models can help detect commonly missed occult fractures while enhancing workflow efficiency for distal radius and scaphoid fracture diagnoses. As performance varies based on fracture type, future studies focused on wrist fracture detection should clearly define whether the goal is to (1) identify difficult-to-detect fractures or (2) improve workflow efficiency by assisting in routine tasks.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • loop mediated isothermal amplification
  • hip fracture
  • label free
  • real time pcr
  • electronic health record
  • working memory
  • sensitive detection