


Volume 21 No 6 (2023)
Download PDF
Exploring the Role of AI in Dental Prosthodontics
Robina Tasleem, Sana Shakil Khan, Dr.MUNEER AHMAD KHAN, Fahimullah, Asim Elsir Elmahdi,,Yousuf Moosa., Assad Ullah
Abstract
As the digital transformation of healthcare continues to grow, artificial intelligence (AI) is announcing significant improvements in diagnostic and therapeutic approaches. This quantitative study examines the application and impact of artificial intelligence (AI) in dental prosthodontics, which deals with creating, manufacturing, and inserting dental prostheses. To find the critical uses of AI in prosthodontics, including picture identification, data analysis, and predictive modeling, we started by thoroughly reviewing the literature. We performed a cross-sectional study in the dental prosthodontics division of a sizable urban hospital to gather primary data. The 60 dentists that made up our sample were picked at random. A painstakingly created questionnaire was utilized to collect the data, soliciting responses on how practical AI is for professional jobs and how it affects patient outcomes overall. In order to provide a quantitative analysis of AI's effects on the accuracy, effectiveness, and results of prosthodontic treatments, procedural data were also collected. Findings from our study suggest that AI significantly augments the accuracy and efficiency of prosthodontic procedures, consequently leading to improved patient outcomes. Nonetheless, we also identified specific challenges and limitations in implementing AI in prosthodontics, indicating an avenue for further investigation. Future research should aim to customize AI algorithms to cater to the specific demands of dental prosthodontics and mitigate the challenges highlighted in this study.
Keywords
As the digital transformation of healthcare continues to grow, artificial intelligence (AI) is announcing significant improvements in diagnostic and therapeutic approaches.
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.