Leveraging ChatGPT to aid patient education on coronary angiogram.

IF 8.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Materials & Interfaces Pub Date : 2023-07-28 DOI:10.47102/annals-acadmedsg.2023138
Samuel Ji Quan Koh, Khung Keong Yeo, Jonathan Jiunn-Liang Yap
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Abstract

Natural-language artificial intelligence (AI) is a promising technological advancement poised to revolutionise the delivery of healthcare. We aim to explore the quality of ChatGPT in providing medical information regarding a common cardiology procedure-the coronary angiogram-and evaluating the potential opportunities and challenges of patient education through this natural-language AI model in the broader context. In a conversational manner, we asked ChatGPT common questions about undergoing a coronary angiogram according to the areas of: description of procedure, indications, contraindications, complications, alternatives, and follow-up. The strengths of the answers given by ChatGPT were that they were generally presented in a comprehensive and systematic fashion, covering most of the major information fields that are required. However, there were certain deficiencies in its responses. These include occasional factual inaccuracies, significant omissions, inaccurate assumptions, and lack of flexibility in recommendations beyond the line of questioning, resulting in the answers being focused solely on the topic. We would expect an increasing number of patients who may choose to seek information about their health through these platforms given their accessibility and perceived reliability. Consequently, it is prudent for healthcare professionals to be cognisant of both the strengths and deficiencies of such models. While these models appear to be good adjuncts for patients to obtain information, they cannot replace the role of a healthcare provider in delivering personalised health advice and management.

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利用ChatGPT帮助患者进行冠状动脉造影教育
自然语言人工智能(AI)是一项很有前途的技术进步,有望彻底改变医疗保健的提供方式。我们的目标是探索ChatGPT在提供关于常见心脏病学程序(冠状动脉血管造影)的医疗信息方面的质量,并通过这种自然语言人工智能模型在更广泛的背景下评估患者教育的潜在机遇和挑战。以对话的方式,我们向ChatGPT询问了关于接受冠状动脉造影的常见问题,包括:手术描述、适应症、禁忌症、并发症、替代方案和随访。ChatGPT给出的答案的优势在于,它们通常以全面和系统的方式呈现,涵盖了所需的大多数主要信息领域。但是,它的反应有某些不足之处。这些问题包括偶尔的事实不准确,重大遗漏,不准确的假设,以及在问题范围之外的建议缺乏灵活性,导致答案只关注主题。考虑到这些平台的可访问性和可感知的可靠性,我们预计会有越来越多的患者选择通过这些平台寻求有关他们健康的信息。因此,对于医疗保健专业人员来说,认识到这些模型的优点和缺点是谨慎的。虽然这些模式似乎是患者获取信息的良好辅助手段,但它们不能取代医疗保健提供者在提供个性化健康建议和管理方面的作用。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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