Predicting time to clearance of sport-related concussions using machine learning - Takeaways - MDSpire

Predicting time to clearance of sport-related concussions using machine learning

  • By

  • Megan Tran

  • Jessica Holler

  • Byron Moran

  • Nathan D. Schilaty

  • John Michael Templeton

  • May 20, 2026

  • 0 min

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  • 1

    Over 3.8 million concussions occur annually in the US, with many going unreported, highlighting the need for accurate diagnosis and prognosis.

  • 2

    Machine learning can enhance diagnostic capabilities and predict recovery duration for athletes following sports-related concussions.

  • 3

    The study benchmarks six machine learning classifiers to identify which models and clinical features best predict time to clearance.

  • 4

    Longitudinal data collection from gold-standard assessments improves predictive accuracy for return-to-play decisions.

  • 5

    Future validated models aim to support clinicians in making informed return-to-play decisions without replacing clinical judgment.

Original Source(s)

Predicting time to clearance of sport-related concussions using machine learning

  • by Megan Tran, Jessica Holler, Byron Moran, Nathan D. Schilaty, John Michael Templeton

  • May 20, 2026

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