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This review explores the use of generative artificial intelligence in improving endodontic treatments.

April 3, 2026International Endodontic Journal0 citationsOpen Access

Generative Artificial Intelligence for Computer Vision in Endodontics: A Review of Current State and Future Potential

HMHossein Mohammad‐RahimiAarhus University SJSanyam JainAarhus University KNKhuram NaveedAarhus University

Key Points

This review explores the use of generative artificial intelligence in improving endodontic treatments.
Reviewed current generative AI models and their applications in endodontics.
Analyzed potential benefits such as data synthesis and image quality enhancements.
Identified challenges in clinical adoption of these technologies.
Highlight the promise of AI for treatment optimisation in endodontics.
Identify current gaps between technical achievements and real-world clinical applications.

Abstract

GenAI models are promising tools for enhancing endodontic treatments through data synthesis, image quality improvement and treatment optimisation. However, there are significant gaps between technical demonstrations and clinical implementation.

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