Prosthesis, Volume 6, Issue 5
2024 October - 21 articles
Cover Story: This study demonstrates a proof of concept for integrating an artificial intelligence (AI) algorithm into the fabrication process for transtibial prosthetic sockets. A novel process for generating a prosthetist-specific, digital “global” template was developed and automatically applied to rectify the shape of a transtibial residual limb. The process involved (1) the acquisition of a “training” dataset of unrectified and rectified positive models through manual data collection and digital 3D scanning and (2) unsupervised learning of the prosthetist’s rectifications using an AI algorithm. The AI-rectified positive model was consistent with the approach described by the prosthetist, exhibiting similar dimensions as the hand-rectified positive model. This approach may provide a good starting socket fit, saving time for prosthetists. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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