为使用ChatGPT的患者简化放射学报告:系统性审查
Michael Kwok1,2, Anthony Franklin3, Timothy Wastney4
1Department of Diagnostic Radiology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
聊天GPT可以简化放射学报告以更好地了解患者,但需要监督. 在临床广泛采用之前需要进行进一步的研究,以确保准确性和患者满意度.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 放射学通信 放射学通信
背景情况:
- 放射学报告对于患者来说往往是复杂的.
- 改善患者对医疗信息的理解对于明智决策至关重要.
- 大型语言模型为简化医疗文本提供了潜在的解决方案.
研究的目的:
- 系统地审查使用ChatGPT简化放射学报告的好处和风险.
- 评估人工智能驱动的简化对报告准确性和完整性的影响.
- 评估提高患者对放射性发现的理解的潜力.
主要方法:
- 对2024年12月17日之前发表的研究进行系统审查.
- 在PubMed/MEDLINE,Embase,Web of Science和CENTRAL数据库中进行了搜索.
- 包括16项评估ChatGPT (GPT-4,GPT-4o,GPT-3.5) 的研究,以简化报告.
主要成果:
- 简化报告使阅读成绩水平从9.6-14降低到5-9.4.
- 事实准确度在78%-100%之间,完整度在83%-100%之间.
- 在异常值排除后,潜在有害错误从0%-36%降至0%-8%;只有19%的人评估了非专业人士的可理解性.
结论:
- 聊天GPT显示了患者友好的放射学报告的潜力,但需要放射科医生监督和遵守隐私法.
- 在临床实施之前,进一步的前性研究对于评估患者的理解,满意度和工作流的影响至关重要.
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