Year: 2025
Type: article
Study design: Clinical Trial
Abstract: 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.
Source: Journal of Neonatal Surgery
Authors: Chandan Sengupta, Rohit Kumar Singh, Krishna Gorde, Atharva D Kamble, Nikhil Ajabrao Bomble, Aishwarya Rajan Kamat
Institutions: ESIC Hospital, Dr. R. Ahmed Dental College and Hospital
Language: English
Subfield: Orthodontics
Field: Dentistry
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409118378