人工智能产生了西班牙熟练的产科和妇科咨询模板
Rachel L Solmonovich1,2,3, Insaf Kouba1,2, Oscar Quezada1,4
1Northwell, New Hyde Park, NY (Solmonovich, Kouba, Quezada, Rodriguez-Ayala, Rojas, Bonilla, Espino, and Bracero).
AJOG global reports
|November 7, 2024
概括
人工智能大型语言模型可以创建熟练的西班牙语咨询模板产科和妇科. 谷歌Bard制作了最有效的模板,显示了跨越医疗保健语言障碍的潜力.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 产科和妇科 产科和妇科
背景情况:
- 医疗保健中的语言障碍对患者的理解和坚持有负面影响.
- 提供者和患者语言之间的不一致与药物不遵守和预防性护理的不充分使用有关.
- 人工智能 (AI) 大语言模型 (LLM) 为患者护理提供了潜在的解决方案.
研究的目的:
- 评估LLMs在生成产科和妇科西班牙语咨询模板方面的熟练程度.
- 为了比较不同LLM产生的模板的内容,质量和全面性.
- 评估这些人工智能生成的模板的潜在临床整合.
主要方法:
- 一项横截面研究利用免费的,开放式的LLM来创建西班牙语咨询模板.
- 西班牙语母语的 OB/GYNs,对 AI 来源视而不见,对内容,质量和全面性的模板进行了审查和评分.
- 熟练程度是根据综合分数进行评分的,>4被认为是熟练的;应用了基本的推断统计数据.
主要成果:
- 所有AI LLM都生成了熟练的西班牙妇产科咨询模板.
- 谷歌巴德制作了最熟练的模板,在全面性,质量和内容 (p<0.0001) 方面表现优于其他模板.
- 医生表示愿意将模板整合到实践中,无论产生LLM (p=0.45).
结论:
- 士学位显示出在产科和妇科领域产生熟练的西班牙语咨询模板的潜力.
- 谷歌巴德 (Google Bard) 成为这些临床工具中表现最好的法学士学位.
- 人工智能法学士课程为减轻医疗保健环境中的语言障碍提供了可行的机会.
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