Artificial intelligence and computer vision in orthopaedic trauma: the why, what, and how

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 journalArticlepeer-review

4 Citations (Scopus)


Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the 'why'), the current applications (the 'what'), and the approach to unlocking its full potential (the 'how'). 

Original languageEnglish
Pages (from-to)911-914
Number of pages4
JournalThe bone & joint journal
Issue number8
Publication statusPublished - Aug 2022


  • 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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