患者教育的未来:人工智能驱动的2型糖尿病指南
Carlos A Hernandez1, Andres E Vazquez Gonzalez2, Anastasiia Polianovskaia2
1Internal Medicine, Ross University School of Medicine, Bridgetown, BRB.
Cureus
|November 29, 2023
概括
像ChatGPT这样的文本生成人工智能 (TGAI) 提供了关于2型糖尿病 (T2DM) 的高度可靠的信息. 这项研究发现,98.5%的AI对T2DM的反应是适当的,支持其在患者教育中的使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 内分泌学 在内分泌学.
背景情况:
- 全球2型糖尿病 (T2DM) 发病率不断上升,给医疗保健系统带来了压力.
- 患者越来越多地在网上搜索健康信息,包括通过AI工具.
- 评估医疗查询的AI可靠性是必不可少的.
研究的目的:
- 评估AI生成的对2型糖尿病问题的答案的准确性.
- 检查AI在解决T2DM并发症方面的一致性,以提高患者教育.
主要方法:
- 医生制定的T2DM问题被提出给ChatGPT.
- 人工智能反应的适当性由专家医生评估.
- 通过多医生审查达成共识.
主要成果:
- 在70个相关问题中,98.5%的AI答案被认为是适当的.
- 只有1.5%的回复被归类为不合适.
- 与传统在线搜索相比,人工智能显示出高可靠性.
结论:
- 文本生成人工智能提供高质量,可靠的医疗信息.
- 人工智能平台显示出作为T2DM患者教育补充工具的希望.
- 人工智能的有效性支持潜在的整合,以改善患者的治疗结果.
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