Corrigendum: Artificial intelligence and computer vision in orthopaedic trauma: the why, how, and what (Bone Joint J. (2022) 104-B: 8 (911–914) DOI: 10.1302/0301-620X.104B8.BJJ-2022-0119.R1)

Jasper Prijs, Zhibin Liao, Soheil Ashkani-Esfahani, Jakub Olczak, Max Gordon, Prakash Jayakumar, Paul C. Jutte, Ruurd L. Jaarsma, Frank F.A. IJpma, Job N. Doornberg, Machine Learning Consortium

Research output: Contribution to journalComment/debate

Abstract

Artificial intelligence and computer vision in orthopaedic trauma: the why, how, and what Published online 1 August 2020 https://online.boneandjoint.org.uk/doi/full/10.1302/0301-620X.104B8.BJJ-2022-0119.R1 and in Bone Joint J. 2022;104-B(8):911–914. The term “convolutional neural network” was mistakenly given as “complex neural network” and repeated throughout.

Original languageEnglish
Pages (from-to)1189
Number of pages1
JournalThe bone & joint journal
Volume104-B
Issue number10
DOIs
Publication statusPublished - 1 Oct 2022

Keywords

  • AI
  • artificial Intelligence
  • clinicians
  • CNN
  • CT scans
  • detection
  • haemorrhage
  • machine learning
  • medical images
  • orthopaedic images
  • orthopaedic surgery
  • orthopaedic trauma
  • postoperative infection
  • radiographs
  • trauma surgery

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