在慢性病中以人工智能驱动的患者教育:评估聊天机器人对临床指南的响应
Prakrati C Acharya1, Raul Alba1, Pajaree Krisanapan2,3
1Division of Nephrology, Texas Tech Health Sciences Center El Paso, El Paso, TX 79905, USA.
Diseases (Basel, Switzerland)
|August 28, 2024
概括
聊天机器人对教育慢性病 (CKD) 患者的生活方式和营养有希望. 虽然AI反应通常是准确的,但需要医疗专业人员仔细审查患者安全和最佳结果.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 慢性病 (CKD) 管理需要患者遵守生活方式和营养策略.
- 个性化教育对于改善CKD患者的医疗保健结果至关重要.
- 人工智能聊天机器人的出现为患者教育提供了一个新的途径.
研究的目的:
- 评估AI聊天机器人的准确性和适用性,以教育CKD患者的生活方式和营养.
- 为了比较不同AI模型 (ChatGPT 3.5,ChatGPT 4,Bard AI,Bing AI) 在回答CKD相关查询中的性能.
- 评估聊天机器人作为CKD患者教育中的补充工具的潜力.
主要方法:
- 根据CKD生活方式和营养的KDIGO和NKF KDOQI指南制定35个问题.
- 在各种格式 (原始,转述,不完整,拼写错误) 中向四个AI版本提出问题 (ChatGPT 3.5 2023年3月/9月,ChatGPT 4,Bard AI,Bing AI 2023年11月).
- 人工智能产生的答案由科医生进行专家审查,以确定其准确性和临床相关性.
主要成果:
- 聊天GPT 3.5 (2023年9月至11月) 和聊天GPT 4提供了很大程度上准确的答案,偶尔会从早期版本中提供误导性信息.
- 巴德人工智能显示了一些误导性陈述和不一致的引用的准确性; Bing人工智能提供了简短的,有时不详细的答案.
- 人工智能聊天机器人展示了对平民友好,多语言和及时响应的潜力,提高了患者参与度.
结论:
- 人工智能聊天机器人可以作为个性化CKD患者教育的宝贵工具,提供可访问的信息.
- 尽管有进展,但人工智能产生的内容需要医疗专业人员的验证,以减轻潜在的不准确性.
- 临床医生和人工智能开发人员之间的合作对于安全有效地将聊天机器人集成到CKD护理途径中至关重要.
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