患者教育中的生成人工智能:ChatGPT处理高血压问题
Ahmed Almagazzachi1, Ahmed Mustafa1, Ashkan Eighaei Sedeh1
1Internal Medicine, Capital Health System, Trenton, USA.
Cureus
|March 4, 2024
概括
像ChatGPT这样的生成人工智能 (GeAI) 在回答常见的高血压问题时表现出高准确度 (92.5%) 和可重复性 (93%),显示出患者健康信息的潜力. 需要进一步的研究来确认其在医学中的可靠性.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 心血管健康 心血管健康
背景情况:
- 失控的高血压是导致死亡率和严重疾病的主要危险因素.
- 患者越来越多地在网上寻找健康信息,在辨别可靠来源方面面临挑战.
- 生成型人工智能 (GeAI) 为健康信息提供了新的途径,但也引发了对准确性和错误信息的担忧.
研究的目的:
- 评估人工智能生成的高血压信息的准确性.
- 评估生成人工智能 (GeAI) 响应的可复制性.
- 探索GeAI在改善患者高血压健康素养方面的潜力.
主要方法:
- 一项定性研究评估了ChatGPT在100个高血压相关问题上的准确性和可重复性.
- 问题由内科住院医生编制,并由高血压专家审查.
- 经验丰富的医生评估了反应的临床适当性和一致性.
主要成果:
- 在92.5%的案例中,ChatGPT提供了适当的响应.
- 在7.5%的查询中发现了不恰当的答案.
- 在一致的信息传递方面,ChatGPT实现了93%的可重复性得分.
结论:
- 在回答常见的高血压问题时,ChatGPT表现出显著的准确性和可靠性.
- GeAI工具显示出有希望的高血压患者教育的宝贵资源.
- 持续的研究对于验证GeAI在医学中的可靠性和临床实用性至关重要.
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