Proceedings of the Global Symposium on Adaptive Manufacturing (GSAM 2026)

Global Symposium on Adaptive Manufacturing (GSAM 2026)

📍Derry~Londonderry, United Kingdom🗓️ 7 September 2026
<Previous Article In Volume
Next Article In Volume>

AI-Driven Patient-Specific Knee Implant Sizing and Design Using Medical Image Analysis and Additive Manufacturing

Authors
Yogesh Ramraje Khalate1, Tejaswini Bhosale1, *
1MIT Art Design &, Technology University, Pune, India
*Corresponding author. Email: tejaswini.bhosale@mituniversity.edu.in
Corresponding Author
Tejaswini Bhosale
Available Online 29 October 2026.
DOI
10.2991/978-94-6239-813-9_23How to use a DOI?
Keywords
Knee arthroplasty; Personalise Implant; Predefined size; additive manufacturing
ABSTRACT

Total Knee Arthroplasty (TKA) is a common procedure used in patients with severely affected knee joints due to trauma, osteoarthritis and severe knee degeneration. Traditional knee implants are, however, available in fixed sizes, which are often not suitable for all patients, depending on their anatomical features. If the implant is not sized properly, it can be poorly positioned, lead to abnormal load distribution, implant loosening, discomfort and reduced functional ability after surgery. As a result, precise assessment of the dimensional characteristics of a patient’s knee is crucial for selecting implants and surgical outcomes. Customized knee implants based on individual anatomical measurements can be developed due to recent developments in artificial intelligence (AI), medical image processing, three-dimensional (3D) reconstruction and additive manufacturing (AM).

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Global Symposium on Adaptive Manufacturing (GSAM 2026)
Series
Advances in Engineering Research
Publication Date
29 October 2026
ISBN
978-94-6239-813-9
ISSN
2352-5401
DOI
10.2991/978-94-6239-813-9_23How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yogesh Ramraje Khalate
AU  - Tejaswini Bhosale
PY  - 2026
DA  - 2026/10/29
TI  - AI-Driven Patient-Specific Knee Implant Sizing and Design Using Medical Image Analysis and Additive Manufacturing
BT  - Proceedings of the  Global Symposium on Adaptive Manufacturing (GSAM 2026)
PB  - Atlantis Press
SP  - 67
EP  - 69
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-813-9_23
DO  - 10.2991/978-94-6239-813-9_23
ID  - Khalate2026
ER  -