机器翻译技术在健康:一个范围审查
Raphaël Merx1, Christine Phillips2, Hanna Suominen2
1Independent Researcher.
Studies in health technology and informatics
|September 25, 2024
概括
由于临床风险,机器翻译 (MT) 尚未足够准确,无法在医疗保健中直接与患者沟通. 然而,MT在翻译医疗文章和教育内容方面表现有前途.
科学领域:
- 医疗信息学 医疗信息学
- 医学翻译 医学翻译
- 计算语言学 计算语言学
背景情况:
- 机器翻译 (MT) 对于克服各种医疗保健环境中的语言障碍至关重要.
- 英语在医学研究中的占主导地位和有限的人类翻译人员增加了MT的相关性.
- 最近的MT精度改进需要重新评估其医疗保健应用.
研究的目的:
- 评估MT在各种健康环境中的适当性和局限性.
- 审查MT对医学教育,文学翻译和患者提供者沟通的适用性.
- 确定医疗保健领域未来研究的领域 MT.
主要方法:
- 对同行评审文献进行范围审查和元分析.
- 在PubMed,PubMed Central和IEEE Xplore (2018-2023) 中进行关键字搜索.
- 分析了从2589个摘要中选择的33篇全文文章.
主要成果:
- 由于不准确的临床风险,MT目前不适合直接的患者-提供者沟通.
- 医学翻译证明了翻译医学文章,术语和教育材料的潜力.
- 对于研究不足的语言,在MT覆盖面上存在显著的差距.
结论:
- 不建议在医疗保健机构直接与患者互动时使用MT.
- 在医学文献和教育等间接应用中,MT显示出前景.
- 需要进一步的研究来提高MT性能,扩大语言覆盖范围,并了解当前的使用模式.
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