AI for Concussion Detection in Boxing: A Game Changer?

AI-Powered Concussion Detection

• 💡 An artificial intelligence application is being developed to track boxers' pupils to identify the onset of concussion.
• 🎯 The technology aims to be non-invasive and accessible for use in a sporting context.
• 🧠 The AI algorithm learns to detect concussion by assessing a person's ability to follow moving lines and identify objects in their blind spots, which become impaired after a concussion.

The Risks of Brain Injury in Boxing

• ⚠️ Studies suggest most professional boxers suffer a brain injury during their careers, increasing risks of diseases like Alzheimer's and Parkinson's.
• 🗣️ Boxers often push through injuries, unaware of the harm, highlighting the need for external tools to prevent self-harm.

How the Technology Works

• 📊 The system tracks eye movements and compares them to a baseline, showing the ball's position and the participant's eye tracking in sync.
• 📉 In cases of obvious concussion, there are significant differences in eye tracking and response times, with discrepancies between ball movement and reaction.
• 🔍 Six different tests are used to provide a broader perspective on the likelihood and severity of concussion.

Implications for Boxers and the Sport

• ⚖️ Current rules mandate a 28-day suspension after a knockout or diagnosed concussion, but this AI could lead to boxers pulling out of matches preemptively.
• 💰 Some boxers express concern that early detection might prevent them from fighting, impacting their income and career, especially if they've sold tickets.
• 📈 The goal is to scale this technology for use in both amateur and professional boxing matches, with potential applications in other sports.
• ✅ While doctors monitor closely during matches, training sessions lack checks, making continuous monitoring crucial.