通过自然语言处理简化放射学报告:使用ChatGPT的新方法,提高患者对MRI结果的理解
Sebastian Schmidt1, Alexander Zimmerer2,3, Tudor Cucos4
1Department of Orthopaedic and Trauma Surgery, Orthopädische Klinik Paulinenhilfe, Diakonieklinikum, Rosenbergstrasse 38, 70192, Stuttgart, Germany. schmidt.sebastian@fn.de.
Archives of orthopaedic and trauma surgery
|November 11, 2023
概括
聊天GPT可以简化MRI报告以更好地了解患者,保持一致的质量. 然而,人工智能生成的报告不应该取代对综合护理的必要专家-患者讨论.
科学领域:
- 医学成像分析 医学成像分析
- 医疗保健中的人工智能
- 患者沟通 患者沟通
背景情况:
- 医疗报告,如MRI发现,可能是复杂的,很难让患者理解.
- 简化医疗信息对于改善患者对医疗保健的理解和参与至关重要.
- 像ChatGPT这样的人工智能工具为自动化文本简化提供了潜在的解决方案.
研究的目的:
- 评估ChatGPT生成的简化医学文本的准确性,完整性和潜在危害.
- 评估不同复杂度的AI生成报告的患者理解和信息密度.
- 将人工智能生成的简化报告与原始医学发现进行比较.
主要方法:
- 使用不同复杂度级别的ChatGPT生成了五种简化版本的膝盖MRI发现.
- 医疗专业人员 (骨科外科医生,放射科医生) 和患者评估了人工智能生成的报告.
- 一个五点的利克特比例问卷评估了事实准确性,完整性,可理解性和潜在的危害.
主要成果:
- 医学专业人士平均将事实正确性和可理解性评为"同意".
- 患者评估表明"同意"语言和句子结构的简单性,基于复杂性的显著差异.
- 患者更好地理解文本,并可以从简化报告中得出更准确的结论.
结论:
- 聊天GPT可以自动简化MRI报告以一致的质量,提高患者的理解.
- 简化的人工智能生成的报告可以提高患者对医疗信息的理解.
- 人工智能生成的报告是一个有价值的工具,但不能取代直接的专家-患者沟通.
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