Generative artificial intelligence in dentistry: Current approaches and future challenges

TL;DR

This paper reviews how generative AI models are transforming dentistry through applications in education, patient care, and research, while discussing current challenges and future prospects.

Contribution

It provides a comprehensive overview of generative AI's applications in dentistry and discusses the technological and ethical challenges involved.

Findings

GenAI enhances dental education and patient care efficiency.

Applications include drug discovery and academic writing support.

Challenges include ethical concerns and technological limitations.

Abstract

Artificial intelligence (AI) has become a commodity for people because of the advent of generative AI (GenAI) models that bridge the usability gap of AI by providing a natural language interface to interact with complex models. These GenAI models range from text generation - such as two-way chat systems - to the generation of image or video from textual descriptions input by a user. These advancements in AI have impacted Dentistry in multiple aspects. In dental education, the student now has the opportunity to solve a plethora of questions by only prompting a GenAI model and have the answer in a matter of seconds. GenAI models can help us deliver better patient healthcare by helping practitioners gather knowledge quickly and efficiently. Finally, GenAI can also be used in dental research, where the applications range from new drug discovery to assistance in academic writing. In this review, we first define GenAI models and describe their multiple generation modalities; then, we explain and discuss their current and potential applications in Dentistry; and finally, we describe the challenges these new technologies impose in our area.