对于患者的GPT聊天:关于心房动意识的全面研究
Rahul Vyas1, Arpita Pawa2, Chanza Shaikh1
1Department of Internal Medicine, LSU, Shreveport, LA, USA.
The Journal of innovations in cardiac rhythm management
|July 16, 2024
概括
像ChatGPT这样的人工智能 (AI) 聊天机器人在提供心房动 (AF) 信息方面表现有前途. 专家医生对人工智能反应的评价很高,这表明人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 心脏病学 心脏病学
背景情况:
- 对心房动 (AF) 的诊断提出了复杂的挑战和患者的询问.
- 人工智能 (AI) 在医疗信息检索中的整合正在迅速发展.
研究的目的:
- 评估人工智能对有关心房动 (AF) 的医疗查询产生的答案的质量.
- 评估专家医生对AI作为心脏病学信息资源的实用性的看法.
主要方法:
- 对30名经验丰富的医生 (22名心脏病专家,8名医院医生) 进行了一项关于AF的20个问题调查.
- 问题涵盖了与AF相关的一般关注,诊断,治疗和诊断后调查.
- 来自ChatGPT (OpenAI) 的人工智能生成的响应被医生使用评级表来评估.
主要成果:
- 超过50%的专家评估将AI反应评为"优秀"或"非常好".
- "优秀"反应是最常见的类别 (29.50%),其次是"非常好" (26%).
- 医生评级表明AI反应与临床医生提供的信息相比.
结论:
- 聊天GPT证明了作为心房动 (AF) 的信息资源的显著有效性.
- 人工智能显示出改善临床响应方法的潜力,尽管道德考虑和更新频率需要注意.
- 该研究强调了人工智能在促进获取医疗保健信息方面的不断扩大作用.
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