Publications by authors named "Luis Raul Sigala-Gonzalez"

Anterior cruciate ligament (ACL) instability poses a considerable challenge in traumatology and orthopedic medicine, demanding precise diagnostics for optimal treatment. The pivot-shift test, a pivotal assessment tool, relies on subjective interpretation, emphasizing the need for supplementary imaging. This study addresses this limitation by introducing a machine learning classification algorithm integrated into a mobile application, leveraging smartphones' built-in inertial sensors for dynamic rotational stability assessment during knee examinations.

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Anterior cruciate ligament (ACL) injuries are very common among athletes. If these injuries are not repaired, meniscus and cartilage damage will arise, with serious consequences in the joint. Different options for ACL reconstruction have been described, aiming for anteroposterior, lateral, and rotational stability.

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