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.
URL: https://www.who.int/publications/i/item/ 9789241512480
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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.