人工智能应用于针对患者的健康信息 脏结石疾病
Reza Kianian1, Matthew Carter1, Ilana Finkelshtein1
1Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
概括
现有的结石在线健康信息复杂且难以理解. 人工智能工具可以生成更简单,更容易访问的内容,以便公众更好地了解结石的预防和治疗.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 美国医学协会建议,在6年级的阅读水平上,健康信息是可以获得的.
- 目前用于预防和治疗结石的在线资源可能不符合这一标准.
- 评估现有健康信息的可读性和质量至关重要.
研究的目的:
- 评估在线顶级结石信息的可读性和质量.
- 将现有信息与人工智能生成的内容 (ChatGPT) 进行比较.
- 确定人工智能是否可以产生更容易获得的健康信息.
主要方法:
- 从主要搜索引擎分析了"预防结石"和"治疗结石"的前50个搜索结果.
- 不包括不相关,专业或非文本内容.
- 使用验证的工具评估网页质量和可读性,并将结果与ChatGPT生成的文本进行比较.
主要成果:
- 包含的网页平均为10-12年级的阅读水平,超过推的6年级的阅读水平.
- 现有信息的整体质量被评为"合理",没有"优秀"分数.
- 聊天GPT生成的内容显示阅读水平明显较低,相当于5年级的水平.
结论:
- 目前在线关于结石的信息往往对公众来说过于复杂.
- 由人工智能驱动的工具显示出创造更易理解和更容易访问的健康内容的潜力.
- 机器学习可以帮助提高公众对结石疾病的健康素养.
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