The potential of large language model chatbots for application to epilepsy: Let’s talk about physical exercise

IF 1.8 Q3 CLINICAL NEUROLOGY Epilepsy and Behavior Reports Pub Date : 2024-01-01 DOI:10.1016/j.ebr.2024.100692
Rizia Rocha-Silva , Bráulio Evangelista de Lima , Geovana José , Douglas Farias Cordeiro , Ricardo Borges Viana , Marília Santos Andrade , Rodrigo Luiz Vancini , Thomas Rosemann , Katja Weiss , Beat Knechtle , Ricardo Mario Arida , Claudio Andre Barbosa de Lira
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Abstract

In this paper, we discuss how artificial intelligence chatbots based on large-scale language models (LLMs) can be used to disseminate information about the benefits of physical exercise for individuals with epilepsy. LLMs have demonstrated the ability to generate increasingly detailed text and allow structured dialogs. These can be useful tools, providing guidance and advice to people with epilepsy on different forms of treatment as well as physical exercise. We also examine the limitations of LLMs, which include the need for human supervision and the risk of providing imprecise and unreliable information regarding specific or controversial aspects of the topic. Despite these challenges, LLM chatbots have demonstrated the potential to support the management of epilepsy and break down barriers to information access, particularly information on physical exercise.

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大语言模型聊天机器人应用于癫痫的潜力:谈谈体育锻炼
在本文中,我们将讨论如何利用基于大规模语言模型(LLMs)的人工智能聊天机器人来宣传体育锻炼对癫痫患者的益处。LLM 已证明有能力生成越来越详细的文本,并允许进行结构化对话。这些都可以成为有用的工具,为癫痫患者提供不同形式的治疗以及体育锻炼方面的指导和建议。我们还研究了 LLM 的局限性,其中包括需要人工监督,以及有可能就话题的特定方面或有争议的方面提供不精确和不可靠的信息。尽管存在这些挑战,LLM 聊天机器人已经证明了其在支持癫痫管理和打破信息获取障碍(尤其是体育锻炼信息)方面的潜力。
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来源期刊
Epilepsy and Behavior Reports
Epilepsy and Behavior Reports Medicine-Neurology (clinical)
CiteScore
2.70
自引率
13.30%
发文量
54
审稿时长
50 days
期刊最新文献
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