AI and 3D printing are personalizing orthotic devices, but adoption faces real hurdles
Generative AI combined with 3D printing can now design custom leg braces and orthotics tailored to individual patients—cutting design time and material waste while improving fit. But biomechanical complexity and workflow gaps are slowing real-world rollout, according to a new systematic review that maps both the opportunity and the barriers.
Originaltitel: Generative AI in the design for additive manufacturing of orthotic devices – a literature review
<p>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.</p>