生成型人工智能聊天机器人可以为患者的常见血管外科问题提供适当的信息响应
Ethan Chervonski1, Keerthi B Harish1, Caron B Rockman2
1New York University Grossman School of Medicine, New York, NY, USA.
Vascular
|March 19, 2024
概括
生成型人工智能 (AI) 显示出对患者教育的前景. 聊天GPT提供了比谷歌Bard更准确,更完整的血管外科信息,尽管阅读难度较低.
科学领域:
- 医疗保健中的人工智能
- 患者教育技术技术
- 血管外科 血管外科
背景情况:
- 生成型人工智能 (AI) 为患者参与和教育提供了一条新的途径.
- 目前的患者教育方法面临局限性,包括在线搜索的信息过载和临床接触中的时间限制.
研究的目的:
- 评估人工智能聊天机器人对有关血管外科条件的常见患者询问产生的响应质量.
- 为了比较OpenAI的ChatGPT-3.5和Google Bard在提供有关血管疾病的准确,完整和适当信息方面的性能.
主要方法:
- 在7个血管外科领域的24个模拟患者问题被提出给ChatGPT-3.5和Google Bard.
- 六个血管外科院系独立评估了AI对准确性,完整性和适当性的反应.
- 人工智能生成的答案的可读性使用已建立的尺度 (Flesch阅读易度,Flesch-Kincaid等级水平,炮雾指数) 来量化.
主要成果:
- 与Bard (p < .01) 相比,ChatGPT响应的准确性 (3.08与2.82) 和完整性 (2.98与2.62) 显著提高 (p < .01).
- 聊天GPT的回复被大多数人认为是适当的 (75.0%),而Bard的回复的适当率较低 (45.8%).
- 聊天GPT的响应比巴德的 (高中教育水平) (p < .0001) 难以读取 (中学后教育水平),而聊天GPT提供了更长的响应.
结论:
- 聊天GPT为血管外科患者教育提供了有价值的工具,尽管可读性较低,但提供了大部分有效的信息.
- 谷歌巴德提供了更容易访问和简洁的信息,但以降低质量和适当性的代价.
- 需要进一步的研究来识别和解决大语言模型的局限性在血管外科手术患者教育的背景下.
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