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ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

Authors :
Huang, Hanyao
Zheng, Ou
Wang, Dongdong
Yin, Jiayi
Wang, Zijin
Ding, Shengxuan
Yin, Heng
Xu, Chuan
Yang, Renjie
Zheng, Qian
Shi, Bing
Publication Year :
2023
Publisher :
arXiv, 2023.

Abstract

The ChatGPT, as a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billions of parameters. LLMs, in fact, have stirred up a lot of interest among researchers and practitioners by their impressive skills in natural language processing tasks, which have a profound impact on a wide range of fields. This paper mainly discusses the future applications of LLMs in dentistry. We introduce two primary LLM deployment methods in dentistry, including automated dental diagnosis and cross-modal dental diagnosis, and examine their potential applications. Especially, equipped with a cross-modal encoder, a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations. A use case is presented to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application. While LLMs offer significant potential benefits, the challenges, such as data privacy, data quality, and model bias, need further study. Overall, LLMs have the potential to revolutionize dental diagnosis and treatment, which indicates a promising avenue for clinical application and research in dentistry.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8c33c5ba954a0d99e7fb2297fd2041fb
Full Text :
https://doi.org/10.48550/arxiv.2304.03086