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An algorithm to improve outcomes of radial forearm flap donor site.

Salvatore D'ArpaMichele CillinoWalter MazzuccoMatteo RossiSergio MazzolaFrancesco MoschellaAdriana Cordova
Published in: Acta chirurgica Belgica (2017)
Application of the algorithm described has led to a significant reduction in RFF donor site complication rates. This demonstrates that if flap donor sites are analyzed and tailor treated in the same way as primary defects are, instead of being given secondary importance and just grafted, outcomes improve.
Keyphrases
  • machine learning
  • deep learning
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  • soft tissue
  • metabolic syndrome
  • adipose tissue
  • neural network
  • glycemic control