Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.

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Title: Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.
Authors: Naunton, Josh1,2,3 (AUTHOR) J.Naunton@latrobe.edu.au, Jiang, Yanran4 (AUTHOR), Bini, Rodrigo2 (AUTHOR), Kidgell, Dawson5 (AUTHOR), Bennell, Kim6 (AUTHOR), Haines, Terry7 (AUTHOR), Kulić, Dana4 (AUTHOR), Malliaras, Peter1 (AUTHOR)
Source: European Journal of Sport Science. May2026, Vol. 26 Issue 5, p1-13.
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  Data: Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Sport+Science%22">European Journal of Sport Science</searchLink>. May2026, Vol. 26 Issue 5, p1-13.
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        Value: 10.1002/ejsc.70167
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      – Text: English
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        PageCount: 13
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      – TitleFull: Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy.
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              Text: May2026
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              Y: 2026
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