Innovation: Using AI to Predict Rugby Union Injuries

Press/Media: Research

Description

POWER FM Radio, South Africa. 

The AI model predicted severe non-contact leg injuries with 82% accuracy. So, for every ten such injuries, the model would have correctly predicted eight. An early-warning AI system could provide coaches with crucial insights on which players might be at risk. Think of it as a hi-tech crystal ball, offering a glimpse into potential problems before they happen and enabling proactive measures to keep players on the field. Lerato Mbele is joined by Dr. Seren Evans, Physiotherapist and Research Associate, Bangor University. 

https://omny.fm/shows/powertalk-archive/innovation-wednesday-ai-tool-to-predict-rugby-inju 

Period29 Jan 2025

Media contributions

1

Media contributions

  • TitleInnovation: AI Tool to Predict Rugby Injuries
    Degree of recognitionInternational
    Media name/outletPOWER Talk
    Media typeRadio
    Duration/Length/Size20
    Country/TerritorySouth Africa
    Date29/01/25
    DescriptionThe AI model predicted severe non-contact leg injuries with 82% accuracy. So, for every ten such injuries, the model would have correctly predicted eight. An early-warning AI system could provide coaches with crucial insights on which players might be at risk. Think of it as a hi-tech crystal ball, offering a glimpse into potential problems before they happen and enabling proactive measures to keep players on the field. Lerato Mbele is joined by Dr. Seren Evans, Physiotherapist and Research Associate, Bangor University.
    Producer/AuthorLerato Mbele
    URLhttps://omny.fm/shows/powertalk-archive/innovation-wednesday-ai-tool-to-predict-rugby-inju
    PersonsSeren Evans
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