在Helicobacter pylori疾病相关查询中,ChatGPT的潜在应用
Zejun Gao1, Jinlin Ge1, Ruoshi Xu1
1Department of Gastroenterology, Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Frontiers in medicine
|October 28, 2024
概括
像ChatGPT-4这样的大型语言模型在回答Helicobacter pylori问题方面表现有希望,对于专家和医学学生来说表现良好. 为了更广泛的公众使用,需要进一步验证.
科学领域:
- 人工智能的人工智能
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
背景情况:
- 人工智能 (AI) 的广泛应用在很大程度上仍未被探索,特别是关于它对公众的有用性.
- 这项研究调查了先进的人工智能,特别是大型语言模型 (LLM) 的能力,以解决与Helicobacter pylori感染有关的查询.
研究的目的:
- 评估大型语言模型 (ChatGPT-4) 在响应用户生成的关于Helicobacter pylori的问题时的有效性.
- 评估AI产生的医疗信息在医疗保健专家和公众中的适用性和理解程度.
主要方法:
- 根据临床指导方针和患者对Helicobacter pylori的担忧,制定针对性的提示.
- 专家对ChatGPT-4的响应进行了评估,以确定其准确性,完整性,有用性和理解性.
- 评估模型的适用性和普通个人和医学学生的用户满意度.
主要成果:
- 聊天GPT-4对Helicobacter pylori查询表现出一致和准确的反应,高专家满意度得分.
- 虽然专家认为人工智能非常有用,但普通人对它的有用性和理解能力的评价要低得多.
- 与一般公众相比,医学学生提供了更积极的评估,表明在医学教育中的潜在实用性.
结论:
- 在回答与Helicobacter pylori相关的问题方面,ChatGPT-4表现出强的性能,这表明它有可能成为一个有价值的工具.
- 对于医学学生来说,LLM很有前途,但在公众广泛采用之前,进一步的研究和验证是必不可少的.
- 该研究强调了医疗专家/学生和普通人群对人工智能生成的健康信息的理解和感知有用性的差距.
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