Role of Large Language Model-Artificial Intelligence in Enhancing Communication Skills in Undergraduate Oral Healthcare Students.

IF 2.9 4区 教育学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Munazza Khanzada, Panpan Zhang, Vu Anh Tran, Melanie Nasseripour, Ana Angelova, Avijit Banerjee, Alfie Abdul Rahman
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引用次数: 0

Abstract

Introduction: Artificial Intelligence (AI) is transforming dental education (DE) by advancing teaching strategies, clinical training, and patient care. Its integration allows for personalized learning experiences and realistic simulations, and equips students with the competencies required to deliver high-quality oral healthcare in a digital environment.

Aim: This project, a collaboration between the Faculty of Dentistry, Oral and Craniofacial Sciences and the Department of Informatics at King's College London, explores the impact of Large Language Models (LLMs) in preparing preclinical undergraduate oral health students for clinical practice, specifically in developing communication skills related to patient behaviour change.

Methods: LLMs were employed to simulate authentic dental scenarios through three iterations of Generative Language Model AI: Two text-based and one voice-based platform. In the initial phase, a comprehensive dataset of question-and-answer pairs was collaboratively created to train the system in addressing a broad spectrum of dental queries. The technology incorporates a medical information database and uses Retrieval Augmented Generation (RAG) to deliver accurate responses. LangChain and prompt engineering were also applied to ensure fair and unbiased content generation.

Results: These platforms were piloted with volunteer clinical staff and students at King's, whose feedback informed refinements ahead of a planned rollout to second-year dental and dental hygiene therapy students in the 2024-25 academic year. In the next phase, AI-facilitated learning experiences will be compared with traditional actor-led communication tutorials. Online questionnaires will be used to assess learning outcomes and student satisfaction across both formats, followed by focus group discussions. Initial results from the pilot were promising, indicating that AI-based platforms can effectively support the development of communication skills in preclinical oral healthcare students. Integrating AI into DE fosters early acquisition of essential professional competencies, aiming to prepare ethically responsible and skilled practitioners while contributing to the evolution of the discipline.

大语言模型-人工智能在口腔保健专业大学生沟通能力培养中的作用
人工智能(AI)正在通过改进教学策略、临床培训和患者护理来改变牙科教育(DE)。它的集成允许个性化的学习体验和逼真的模拟,并使学生具备在数字环境中提供高质量口腔保健所需的能力。目的:该项目是伦敦国王学院牙科、口腔和颅面科学学院与信息系合作开展的,旨在探索大型语言模型(LLMs)对临床前口腔健康本科生临床实践的影响,特别是在培养与患者行为改变相关的沟通技巧方面。方法:通过生成语言模型AI的三次迭代,即两次基于文本和一次基于语音的平台,利用llm模拟真实牙科场景。在初始阶段,协作创建了一个全面的问答对数据集,以训练系统解决广泛的牙科查询。该技术结合了一个医疗信息数据库,并使用检索增强生成(RAG)来提供准确的响应。LangChain和prompt engineering也被应用于确保公平和公正的内容生成。结果:这些平台在国王学院的志愿临床工作人员和学生中进行了试点,他们的反馈为2024-25学年计划向二年级牙科和口腔卫生治疗学生推出之前的改进提供了信息。在下一阶段,人工智能促进的学习体验将与传统的演员主导的交流教程进行比较。在线问卷将用于评估两种形式的学习成果和学生满意度,然后是焦点小组讨论。试点的初步结果是有希望的,表明基于人工智能的平台可以有效地支持临床前口腔保健学生的沟通技巧发展。将人工智能整合到DE中可以促进基本专业能力的早期获得,旨在培养有道德责任感和熟练的从业者,同时为该学科的发展做出贡献。
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来源期刊
CiteScore
4.10
自引率
16.70%
发文量
127
审稿时长
6-12 weeks
期刊介绍: The aim of the European Journal of Dental Education is to publish original topical and review articles of the highest quality in the field of Dental Education. The Journal seeks to disseminate widely the latest information on curriculum development teaching methodologies assessment techniques and quality assurance in the fields of dental undergraduate and postgraduate education and dental auxiliary personnel training. The scope includes the dental educational aspects of the basic medical sciences the behavioural sciences the interface with medical education information technology and distance learning and educational audit. Papers embodying the results of high-quality educational research of relevance to dentistry are particularly encouraged as are evidence-based reports of novel and established educational programmes and their outcomes.
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