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Generative artificial intelligence in dentistry: Current approaches and future challenges

arXiv 2407.17532 ↗First posted 24 Jul 2024cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 97 references that are in the map. First posted on arXiv 24 Jul 2024.

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References · 14

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2 more
  1. 2018Learning from the experts: From expert systems to machine-learned diagnosis modelscited by 3
  2. 2023Towards Anatomy Education with Generative AI-based Virtual Assistants in Immersive Virtual Reality Environmentscited by 3

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