聊天GPT-4 帮助优化急诊室放射学推和成像选择
Yiftach Barash1, Eyal Klang2, Eli Konen3
1Department of Diagnostic Imaging, Chaim Sheba Medical Center, Tel Hashomer, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel; DeepVision Lab, Chaim Sheba Medical Center, Tel Hashomer, Israel.
Journal of the American College of Radiology : JACR
|July 9, 2023
概括
聊天GPT-4显示作为一个决策支持工具的承诺,准确地推成像检查和提高放射学转诊质量在急诊室的病例. 放射科医生可以利用这项技术来提高患者的护理.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 放射学转诊质量对于有效的患者管理和准确的成像解释至关重要.
- 紧急诊所 (ED) 经常遇到复杂的病例,需要及时和适当的成像选择.
研究的目的:
- 评估ChatGPT-4的实用性,作为选择适当的成像检查的决策支持工具.
- 评估ChatGPT-4在ED环境中产生高质量的放射学转诊的能力.
主要方法:
- 从ED的40个临床笔记进行了回顾性分析,涉及八种不同的病理.
- 使用ChatGPT-4来推成像检查,协议,并生成转诊.
- 独立放射科医生对转诊进行分级,以清晰度,临床相关性和差异诊断,并与ACR适当性标准进行比较.
主要成果:
- 聊天GPT-4的成像建议与ACR适当性标准和ED实践保持一致.
- 生成的转诊在清晰度 (平均值4.6-4.8),临床相关性 (平均值4.4-4.5) 和差异诊断 (平均值4.9) 方面获得了高分.
- 在ChatGPT-4和ACR AC之间发现了较小的协议差异 (5%).
结论:
- 聊天GPT-4显示潜在的作为一个补充工具,以帮助成像研究选择特定的临床情景.
- 大型语言模型的整合可能会提高放射学推的整体质量.
- 放射科医生应该保持对人工智能的进展的了解,并考虑潜在的好处和风险.
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