Workflow Intelligence: An Examination of AI-Powered Prosthodontic Diagnostics and Design A Review of literatures
TL;DR
The aim of this study is to systematically evaluate the assimilation of AI technologies in modern dentistry, quantifying their sway on diagnostic accuracy, treatment planning workflows, and clinic operational efficiency.
Abstract
With a focus on digital workflows, diagnostic assistance, and computer-aided design and manufacturing procedures, this narrative review examines current uses of artificial intelligence (AI) in prosthodontics. Relevant peer-reviewed research on clinically usable AI-driven techniques in fixed and removable prosthodontics that has been published recently was found in large scientific databases. An analysis of multiple peer-reviewed publications revealed that AI plays a significant role in the interpretation in prosthodontics (e.g., impressions, implant placement, and 3D designing) to support diagnosis and treatment planning. Clinically speaking, the evidence currently available supports the use of AI mainly as a decision-support tool in digital prosthodontic workflows, especially in margin detection and prosthetic design. However, routine clinical adoption of AI is still constrained by inadequate validation and practical applicability. Clinically speaking, the evidence currently available supports the use of AI mainly as a decision-support tool in digital prosthodontic workflows, particularly in margin detection and prosthetic design. However, routine clinical implementation of AI is still inhibited by inadequate validation and practical applicability. Aim of the Study The aim of this study is to systematically evaluate the assimilation of AI technologies in modern dentistry, quantifying their sway on diagnostic accuracy, treatment planning workflows, and clinic operational efficiency.