Embedding data and clinical decision-making within the digital prosthetic socket fitting process episode artwork

EPISODE · Oct 28, 2024 · 25 MIN

Embedding data and clinical decision-making within the digital prosthetic socket fitting process

from CDFAM Computational Design Symposium · host Duann Scott

Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractProsthetic sockets for people with amputation are traditionally provided using a manual, plaster-based process where the clinician captures the shape of the limb using a plaster cast, makes modifications to this surface to load and off-load particular biomechanical regions, before this modified shape is used as the base to fabricate the final device.  While digital processes have been around for several decades, which use 3D scanning and surface-based sculpting tools to replicate the traditional processes, using this digital record to learn from and support the socket design processes has been limited. With increasing adoption of 3D printing in the industry, the need for data to support in device design and fitting is increasing. Radii Devices are a UK-based startup using machine learning techniques to learn from historical records and support fitting of these devices within a clinical setting. By providing clinicians access to this technology at the point-of-care, their aim is to provide an improved fitting process for both clinicians and prosthetic users. Speaker BiosNathan Shirley, Lead Computational & Industrial Designer, HP Computational DesignNathan helps lead a tactical Design, Engineering, UX and SW team that implements mass customization design engines for HP’s 3D printing customers. We operate as a highly specialized consultancy to help them navigate the complex design and integration path to customizable production at scale in Multi-Jet Fusion, HP’s industrial 3D printing Technology. We focus mainly on Medical & Consumer Body Fitment use cases like orthotics, prosthetics, eyewear, footwear and performance sporting gear, as well as on engineered lattice meta-material behaviors.Joshua Steer, PhD is the Founder and CEO of Radii Devices Ltd. He completed his PhD in the Bioengineering department of the University of Southampton, UK in 2019, where he continues as a Visiting Research Follow. His prior academic research and subsequent work at Radii focuses on using software and data, such as 3D scans, to support the fitting of Prosthetics and Orthotics, and has contributed to 17 peer-reviewed journal articles. He collaborates on projects with multiple partners including the Department of Veteran Affairs Office of Advanced Manufacturing and National Health Service in the UK.Full Presentation on YoutubeCDFAM Computational Design Symposium brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com

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Embedding data and clinical decision-making within the digital prosthetic socket fitting process

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This episode was published on October 28, 2024.

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Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractProsthetic sockets for people with amputation are traditionally provided using a manual, plaster-based process where the clinician captures the shape of the limb using a...

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