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Editorial
Artificial intelligence in sports medicine radiology: what’s coming?
  1. William Parker,
  2. Bruce B Forster
  1. Radiology, University of British Columbia, Vancouver, British Columbia, Canada
  1. Correspondence to Dr William Parker, Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; william{at}alumni.ubc.ca

https://doi.org/10.1136/bjsports-2018-099999

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    Artificial intelligence (AI) is the new kid on the block. Every doctor and her/his medical student is talking about it. It seems like the answer to all of our problems. How will we overcome antibiotic resistance? AI will figure it out. What is on the X-ray? AI will know. Why is your partner mad at you? AI should be great for that. But what is AI exactly, and what will be its impact in sports medicine?

    AI is the theory and development of computer systems which are able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making and translation between languages.1 In order for a machine to become intelligent, it needs to learn. Enter machine learning.

    Machine learning is a branch of AI based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.2

    Machine Learning is not a new concept in computer science circles but was popularised by Dr Geoffrey Hinton, a computer scientist from Toronto Ontario, who brought the technology into the limelight with his work on ImageNet, a computer program (called a neural network) that was able to identify the contents …

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    Footnotes

    • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

    • Competing interests BBF has an equity position in a private imaging clinic in Vancouver BC. WP conducts research and has an equity stake in a company focused on machine learning for Radiology.

    • Patient consent Not required.

    • Provenance and peer review Not commissioned; externally peer reviewed.