大型语言模型和妇女健康:为知情决策提供数字伴侣
Florian Recker1, Ricarda Neubauer2, Agnes Wittek2
1Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany. florianrecker@icloud.com.
人工智能 (AI),包括像ChatGPT这样的大型语言模型 (LLM),可以提高妇科和产科的患者教育. 虽然人工智能对信息获取有价值,但它应该补充,而不是取代专业医疗咨询.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 妇女健康 技术 技术
背景情况:
- 人工智能 (AI) 的日益普及为医疗保健提供了新的途径.
- 像ChatGPT这样的大型语言模型 (LLM) 在医疗应用中提供了独特的机遇和挑战.
研究的目的:
- 探索AI,特别是LLM对妇科和产科患者护理的潜在影响.
- 评估使用ChatGPT作为生殖健康患者教育工具的好处和局限性.
主要方法:
- 对提供健康信息的AI能力进行定性分析.
- 讨论AI在患者提供者沟通和决策中的作用.
主要成果:
- 像ChatGPT这样的AI工具可以提高患者对敏感健康主题 (月经,避孕,怀孕,分娩) 的知识和自主权.
- 人工智能增强了患者对咨询的准备,促进了知情问题和基于伙伴关系的对话.
- 局限性包括无法评估个人情况,支持个性化决策,以及对数据隐私和潜在误解的担忧.
结论:
- 聊天GPT是为妇科和产科患者教育提供补充资源,而不是取代医疗咨询.
- 负责任的整合和未来的进步对于优化人工智能在妇女医疗保健中的作用至关重要.
- 人工智能提供了新的沟通途径,赋予患者权力,并可能改善医疗保健结果.
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