Random forest predicting prosthetist adaptations from limb scans achieves median surface-to-surface error of 1.24 mm, outperforming direct socket shape prediction and other models.
Safari, Lower limb prosthetic interfaces: Clinical and technological advancement and po- tential future direction, Prosthetics and orthotics international 44 (2020) 384–401
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Evaluating Artificial Intelligence Algorithms for the Standardization of Transtibial Prosthetic Socket Shape Design
Random forest predicting prosthetist adaptations from limb scans achieves median surface-to-surface error of 1.24 mm, outperforming direct socket shape prediction and other models.