Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning

Overview of attention for article published in Frontiers in Neurology, January 2022

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Good Attention Score compared to outputs of the same age (66th percentile)
Good Attention Score compared to outputs of the same age and source (76th percentile)

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RT @URNeuroscience: OUT NOW via @FrontNeurol➡️ target="_blank" href="https://t.co/lCybHYbkGd">https://t.co/lCybHYbkGd Post-concussive mTBI in Student Athletes: MRI Features and Machine L…

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RT @URNeuroscience: OUT NOW via @FrontNeurol➡️ target="_blank" href="https://t.co/lCybHYbkGd">https://t.co/lCybHYbkGd Post-concussive mTBI in Student Athletes: MRI Features and Machine L…

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OUT NOW via @FrontNeurol➡️ target="_blank" href="https://t.co/lCybHYbkGd">https://t.co/lCybHYbkGd Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning Research lead by Prof. Steven Meyers, MD, PhD, of @URMC_Imaging #URochesterResearch https://t.co/m16TcI5SPb

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Reposting our latest work on AI and mTBI Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning https://t.co/0jnQZvbWhi

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