دورية أكاديمية

ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model

التفاصيل البيبلوغرافية
العنوان: ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model
المؤلفون: Hanyao Huang, Ou Zheng, Dongdong Wang, Jiayi Yin, Zijin Wang, Shengxuan Ding, Heng Yin, Chuan Xu, Renjie Yang, Qian Zheng, Bing Shi
المصدر: International Journal of Oral Science, Vol 15, Iss 1, Pp 1-13 (2023)
بيانات النشر: Nature Publishing Group, 2023.
سنة النشر: 2023
المجموعة: LCC:Dentistry
مصطلحات موضوعية: Dentistry, RK1-715
الوصف: Abstract The ChatGPT, 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 have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks, which profoundly impact various 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. We also present cases 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2049-3169
Relation: https://doaj.org/toc/2049-3169
DOI: 10.1038/s41368-023-00239-y
URL الوصول: https://doaj.org/article/0a9b52338788443f8a27578c40da7e3f
رقم الأكسشن: edsdoj.0a9b52338788443f8a27578c40da7e3f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20493169
DOI:10.1038/s41368-023-00239-y