Crafting Better Frameworks with Intelligent Algorithms: Smart RPD of the Future- A Review

DOI

10.2991/978-94-6239-654-8_17How to use a DOI?

Keywords

Artificial intelligence; Removable partial denture design; Prosthodontics; Machine learning; Deep learning; Convolutional neural networks; Tooth recognition; Digital dentistry; AI-based education; CAD/CAM; Automated design systems; Dental informatics

Abstract

Artificial intelligence is rapidly changing the face of removable partial denture design by offering results to some of the most patient challenges facing RPD design individual variability, and inconsistent educational issues. Traditional RPD planning relies intensively on clinical judgment that constantly leads to variation among clinicians. Recent advances in machine knowledge and deep knowledge, especially convolutional neural networks and YOLO- rested tooth recognition systems, have greatly enhanced the delicacy and responsibility of bow type and edentulous- span discovery. AI- driven pedagogical tools, similar as rule- rested design software, computer- supported knowledge platforms, and immersive 3D simulation modules, also mainly meliorate pupil performance, enhance spatial understanding, and insure long- term faculty. Checks indicate increased delicacy with surveying, expedited design processes, optimized frame planning, and minimum intervention by faculty. Notwithstanding these advantages, limitations include confined datasets, inflexible rule- rested systems, scholars’ trouble of reliance, challenges in integration, and pending ethical and nonsupervisory enterprises. Unborn directions spotlight the integration of multimodal data, fully automated AI- CAD workflows, generative AI for optimized fabrics, prophetic analytics, and pall- rested datasets across the globe. Overall, AI has immense pledge for elevating RPD design from an experience- rested practice to a standardized, data- driven prosthodontics. With new exploration, substantiation, and ethical performance, AI is likely to come a core element of unborn prosthodontic education and clinical care.

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.

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TY  - CONF
AU  - Vikram Vikram
AU  - L. Sweetlin Abi
AU  - Ramya Dhanasekaran
AU  - V. Sreedevi
AU  - Abhinaya Abhinaya
PY  - 2026
DA  - 2026/04/24
TI  - Crafting Better Frameworks with Intelligent Algorithms: Smart RPD of the Future- A Review
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 183
EP  - 192
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_17
DO  - 10.2991/978-94-6239-654-8_17
ID  - Vikram2026
ER  -