了解人工智能在子宫内膜异位症患者教育中的作用,并评估其信息和准确性:系统性审查
Juliana Almeida Oliveira1, Karine Eskandar2, Emre Kar3
1Department of Women's Health, Federal University of Minas Gerais, Belo Horizonte, Brazil.
JMIR AI
|October 30, 2024
概括
人工智能 (AI) 在改善子宫内膜异位症患者教育方面表现有前途,通过为常见问题提供准确的答案. 需要进行进一步的研究,以确保对这些人工智能驱动的工具的伦理使用和公平访问.
科学领域:
- 医疗信息学 医疗信息学
- 妇科 妇科医生 妇科
背景情况:
- 子宫内膜异位症是一种普遍的妇科疾病,导致慢性盆腔疼痛和不孕症.
- 患者教育至关重要,但仍然是子宫内膜异位症管理的重大挑战.
- 人工智能 (AI) 为提高患者教育和信息获取提供了潜在的解决方案.
研究的目的:
- 系统地审查人工智能在改善子宫内膜异位症患者教育和信息获取方面的作用.
- 探索AI应用在评估患者知识和传播有关子宫内膜异位症的信息.
主要方法:
- 按照PRISMA指南进行系统审查.
- 在多个数据库中进行全面的搜索,包括PubMed,Embase,LATINDEX,LILACS,IEEE Xplore和Cochrane.
- 纳入标准侧重于人工智能应用用于子宫内膜异位症患者教育和信息传播.
主要成果:
- 11项研究符合初步标准,最终包括3项进行全面审查.
- 像ChatGPT,机器学习和NLP这样的AI模型提供了关于子宫内膜异位症常见问题的准确答案.
- 与社交媒体集成的AI可以识别患者的需求并改善信息传播.
结论:
- 人工智能显示出提高子宫内膜异位症患者教育和信息获取的巨大潜力.
- 挑战包括确保道德的人工智能使用,公平访问和一致的准确性.
- 未来的研究应该标准化人工智能影响评估,并探索改善患者支持的临床整合.
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