AI Streamlines Custom Prosthetic Socket Design for Amputees

A new study in Prosthesis explores how artificial intelligence (AI) can streamline the process of creating prosthetic sockets for people with transtibial (below-knee) amputations. Traditionally, prosthetists use plaster models of a patient’s residual limb to make custom sockets, but this time-consuming method can vary between practitioners depending on skill and experience. This study introduces a novel approach using AI to develop digital templates based on a prosthetist’s previous work.

Researchers collected 3D scans of both unaltered and manually shaped models of residual limbs. The AI then "learned" how the prosthetist adjusted the models and applied this knowledge to new limb models. When tested, the AI-generated sockets closely matched those made by hand, with only small differences.

This new process has the potential to save time and make socket fitting more consistent, helping individuals with amputations receive faster and more accurate prosthetic care.

This exciting study will be featured on the Prosthesis issue cover. The study was conducted by Professor Stefania Fatone, PhD, with colleagues from a variety of institutions.