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Machine learning may have a role in identifying racehorses at risk of leg fracture
Models used in the Cornell University study showed good accuracy, but more work is needed to get it to a real-world setting.
Cornell university
New york
United states
Parminder basran
Sean mcdonough
Heidi reesink
Scott palmer
Cornell university in ithaca
Catastrophic proximal sesamoid bone fractures
Thoroughbred racehorses using
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