对于结核病教育和咨询的人工智能:修改后的德尔菲共识
J N Ngiam1, M C Y Koh1, L D'Ambrosio2
1Division of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore.
概括
人工智能聊天机器人可以准确地回答一般结核病 (TB) 问题,但可能提供过时的信息. 医疗保健专业人员对于目前的个人结核病护理至关重要.
科学领域:
- 医疗信息学
- 医疗保健中的人工智能
- 公共卫生
背景情况:
- 有效的结核病治疗需要强有力的健康教育和患者咨询.
- 目前的咨询是耗时的,涉及结核病的传播,风险,疾病,预防,诊断和治疗.
- 评估人工智能聊天机器人的性能与专家意见对结核病患者的支持至关重要.
研究的目的:
- 评估人工智能聊天机器人对结核病患者教育的质量.
- 将人工智能生成的结核病信息与全球结核病专家的共识进行比较.
- 确定人工智能聊天机器人在结核病治疗和控制中的用处.
主要方法:
- 使用GPT-4开发了一个基于结核病指南的AI聊天机器人 (TBCA).
- 通过39个来自结核病患者和护理人员的常见问题来测试TBCA.
- 全球结核病专家使用修改后的德尔菲共识方法评估了应对质量.
主要成果:
- 在结核病流行病学,临床表现,预防,诊断和治疗领域提供了准确的答案.
- 答复引用了来源,并适当地将用户指向医疗保健提供者.
- 已经过时的信息 (例如,多抗药结核病定义) 和诊断测试混.
结论:
- 大型语言模型提供准确的TB一般信息,但可能缺乏当前背景或过时.
- 人工智能聊天机器人的建议通常是安全和有用的, 但不能代替专业的医疗指导.
- 医疗保健专业人员对于提供最新和个性化的结核病治疗建议至关重要.
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