超越语言障碍:聊天GPT可以是提高医疗保健多语言可访问性的关键吗?
Vaibhav Gulati1, Shambo Guha Roy2, Ahmed Moawad1
1Department of Radiology, Mercy Catholic Medical Center, Darby, Pennsylvania.
Journal of the American College of Radiology : JACR
|June 16, 2024
概括
聊天生成预训练变压器 (ChatGPT) 在简化和翻译放射学报告方面表现有前途. 西班牙语的翻译是最准确的,尽管需要进一步培训的较少常见的语言,以提高可访问性和降低成本.
科学领域:
- 医疗成像中的人工智能
- 在医疗保健中的自然语言处理.
- 放射学报告 简化和翻译
背景情况:
- 放射学报告包含复杂的医学术语.
- 对放射学发现的有效沟通对于患者护理至关重要.
- 当前的翻译和简化方法可能耗时或有限.
研究的目的:
- 评估ChatGPT (4.0) 在简化和翻译放射学报告方面的能力.
- 将其在西班牙语,印度语和俄语中的表现与英语简化的表现进行比较.
- 评估人工智能生成的翻译的准确性,完整性和清晰度.
主要方法:
- 五十个未识别的腹CT报告被ChatGPT处理.
- 报告被简化并翻译成西班牙语,印度语和俄语.
- 评估包括事实准确性,有害错误,完整性,医学术语解释和翻译质量.
- 对于英语简化评估,使用了Flesch Reading Ease和Flesch Kincaid等级水平.
主要成果:
- 与印度语和俄语相比,西班牙语翻译在事实正确性和完整性方面表现出更好的表现.
- 所有翻译版本在解释医疗术语方面都比英语简化表现更差.
- 印度语翻译在所有评估类别中表现明显差.
- 原始报告中的排版错误影响了翻译的准确性.
结论:
- 聊天GPT展示了翻译和简化放射学报告的潜力,以最小的错误.
- 对于医学文献中代表性较低的语言,需要进一步的AI模型培训.
- 大型语言模型可以通过改进报告沟通来提高医疗保健的可访问性,并潜在地降低成本.
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