AI-Driven Digital Prosthodontics – A Paradigm Shift in Prosthetic Rehabilitation
Background: Digital and AI-driven technologies are revolutionizing prosthodontics by enhancing precision, efficiency, and patient outcomes. The integration of artificial intelligence (AI) in prosthetic design and occlusal analysis is transforming conventional workflows. Objective: This study evaluates the effectiveness of AI-assisted prosthodontic workflows in comparison to traditional methods in terms of accuracy, time efficiency, and patient satisfaction. Materials and Methods: A total of 50 edentulous patients were included in a randomized controlled study. Group A (n=25) received AI-assisted digitally designed complete dentures, while Group B (n=25) received conventionally fabricated dentures. Prosthetic fit, occlusal accuracy, patient satisfaction, and fabrication time were assessed using objective and subjective measures. Results: AI-assisted dentures demonstrated superior accuracy in occlusal balance (p<0.05), reduced fabrication time by 40%, and had significantly higher patient satisfaction scores compared to conventional methods. Discussion: The findings suggest that AI-driven digital prosthodontics enhances treatment outcomes by improving precision and reducing human error. However, challenges such as cost and learning curves must be addressed for widespread adoption. Conclusion: AI-driven digital prosthodontics offers a promising approach to improving efficiency and patient outcomes in prosthetic rehabilitation. Future research should focus on cost-effectiveness and long-term clinical outcomes.
Authors
- Chandan Sengupta
- Atharva D Kamble
- Rohit Kumar Singh (ORCID: https://orcid.org/0000-0001-8495-6373)
- Aishwarya Rajan Kamat
- Krishna Gorde
- Nikhil Ajabrao Bomble
Publication Details
- Journal
- Journal of Neonatal Surgery
- Published
- 2025-03-26
- DOI
- https://doi.org/10.52783/jns.v14.2651
- Citations
- 1
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 1.03