牙科中的生成人工智能:对当前方法和未来挑战的叙述回顾

Fabián Villena , Claudia Véliz , Rosario García-Huidobro , Sebastian Aguayo
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引用次数: 0

摘要

人工智能(AI)已经成为外行和领域专家的商品,因为生成式人工智能(GenAI)模型的出现,通过提供与复杂模型交互的自然语言接口,弥合了人工智能的可用性差距。GenAI模型执行的任务范围从文本生成(如双向聊天系统)到从用户提供的文本描述生成图像和视频。人工智能的这些进步在多个方面影响了牙科。牙科教育现在受益于GenAI模型,使学生能够通过直观的提示解决许多问题,并获得即时答案。牙科保健从业人员利用GenAI快速有效地收集知识,改善患者护理。在牙科研究方面,GenAI支持学术写作和新药物和疗法的发现等活动。在这篇叙述性综述中,我们总结了截至2025年GenAI在牙科中的现状,定义了GenAI模型,描述了它们的多生成模式,并讨论了它们在牙科中的当前和潜在应用。最后,我们描述了这些新技术给我们的领域带来的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Generative artificial intelligence in dentistry: A narrative review of current approaches and future challenges

Generative artificial intelligence in dentistry: A narrative review of current approaches and future challenges
Artificial intelligence (AI) has become a commodity for laypeople and domain experts 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. GenAI models perform tasks ranging from text generation, such as two-way chat systems, to image and video generation from user-provided textual descriptions. These advancements in AI have impacted Dentistry in multiple aspects. Dental education now benefits from GenAI models by enabling students to address numerous questions through intuitive prompts, receiving instant answers. Dental healthcare practitioners utilize GenAI to gather knowledge quickly and efficiently, improving patient care. In dental research, GenAI supports activities such as academic writing and the discovery of new drugs and therapies. In this narrative review, we summarize the current state of GenAI in dentistry as of 2025, define GenAI models, describe their multiple generation modalities, and discuss their current and potential applications in Dentistry. Finally, we describe the challenges these new technologies impose in our area.
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