Generative AI in the design for additive manufacturing of orthotic devices – a literature review
2026 (English)In: Proceedings of the Design Society, Cambridge University Press, 2026, Vol. 6, p. 2021-2030Conference paper, Published paper (Refereed)
Abstract [en]
Generative AI and additive manufacturing (AM) are shifting orthotic design from generic devices to data-driven, patient-specific solutions. This paper presents a systematic review of Generative AI in Design for AM (DfAM) for orthotic devices. It examines how AI-driven methods generate customised, lightweight orthoses via 3D printing, improving both design efficiency and anatomical fit. The review identifies biomechanical and workflow challenges that hinder adoption and outlines how Generative AI can advance orthotic DfAM, providing a conceptual workflow and suggestions for future research.
Place, publisher, year, edition, pages
Cambridge University Press, 2026. Vol. 6, p. 2021-2030
Series
Proceedings of the Design Society, ISSN 2732-527X
Keywords [en]
additive manufacturing, artificial intelligence (AI), generative design, biomedical applications, healthcare design
National Category
Production Engineering, Human Work Science and Ergonomics Design
Research subject
Product Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-118987DOI: 10.1017/pds.2026.10560OAI: oai:DiVA.org:ltu-118987DiVA, id: diva2:2084764
Conference
19th International Design Conference (DESIGN 2026), May 18-21, 2026, Cavtat, Dubrovnik, Croatia
Note
Full text: CC BY-NC-ND license;
2026-07-062026-07-062026-07-06Bibliographically approved