面向患者的 ChatGPT:心房颤动认知综合研究

Q3 Medicine Journal of Innovations in Cardiac Rhythm Management Pub Date : 2024-07-15 eCollection Date: 2024-07-01 DOI:10.19102/icrm.2024.15072
Rahul Vyas, Arpita Pawa, Chanza Shaikh, Anaiya Singh, Hetvi Shah, Shubhika Jain, Vijaywant Brar
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引用次数: 0

摘要

由于心房颤动(AF)的复杂性,诊断过程往往会引起一系列的问题和咨询。我们通过谷歌表单(Google LLC,美国加利福尼亚州山景城)对心房颤动进行了一项包含 20 个问题的调查,内容涉及一般关切、诊断、治疗和诊断后咨询。这些问题于 2023 年 11 月输入到 Chat Generative Pre-trained Transformer (ChatGPT) 系统(OpenAI LP,旧金山,加利福尼亚州,美国),并在同一个谷歌表单中对回复进行了细致的整理。这项调查涉及 30 名经验丰富的医生,其中包括 22 名心脏病专家和 8 名医院专家,平均从业年限为 18 年,他们对人工智能(AI)生成的 20 个医疗询问的回复进行了评估。在 600 项评估中,"优秀 "的回答最为常见(29.50%),其次是 "非常好"(26%)、"好"(19.50%)和 "一般"(17.3%)。回答 "差 "的最少(7.67%)。问题分为 "一般问题"、"诊断相关问题"、"治疗相关问题 "和 "诊断后一般问题"。在所有类别中,超过 50% 的专家将回答评为 "优秀 "或 "非常好",这表明人工智能的临床回答方法还有改进的余地。本研究强调了 ChatGPT 作为房颤信息资源的功效,专家评定的回复与临床医生的回复相当。虽然功能强大,但也存在更新频率低和伦理方面的问题。尽管如此,它强调了人工智能在医疗保健信息获取中日益重要的作用。
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ChatGPT for Patients: A Comprehensive Study on Atrial Fibrillation Awareness.

Due to the intricate nature of atrial fibrillation (AF), the diagnostic process often gives rise to a spectrum of concerns and inquiries. A 20-question survey on AF, covering general concerns, diagnosis, treatment, and post-diagnosis inquiries, was conducted via Google Forms (Google LLC, Mountain View, CA, USA). The questions were input into the Chat Generative Pre-trained Transformer (ChatGPT) system (OpenAI LP, San Francisco, CA, USA) in November 2023, and the responses were meticulously collated within the same Google Forms. The survey, involving 30 experienced physicians, including 22 cardiologists and 8 hospitalists, practicing for an average of 18 years, assessed artificial intelligence (AI)-generated responses to 20 medical queries. Out of 600 evaluations, "excellent" responses were most common (29.50%), followed by "very good" (26%), "good" (19.50%), and "fair" (17.3%). The least common response was "poor" (7.67%). Questions were categorized into "general concerns," "diagnosis-related," "treatment-related," and "post-diagnosis general questions." Across all categories, >50% of experts rated responses as "excellent" or "very good," indicating the potential for improvement in the AI's clinical response methodology. This study highlights the efficacy of ChatGPT as an AF informational resource, with expert-rated responses comparable to those of clinicians. While proficient, concerns include infrequent updates and ethical considerations. Nevertheless, it underscores the growing role of AI in health care information access.

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来源期刊
Journal of Innovations in Cardiac Rhythm Management
Journal of Innovations in Cardiac Rhythm Management Medicine-Cardiology and Cardiovascular Medicine
CiteScore
1.50
自引率
0.00%
发文量
70
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