Gpt-4o可以准确诊断创伤X射线吗? 一个比较研究与专家评估
Ahmet Öztürk1, Serkan Günay1, Serdal Ateş2
1Department of Emergency Medicine, Hitit University Çorum Erol Olçok Education and Research Hospital, Çorum, Turkey.
The Journal of emergency medicine
|May 10, 2025
概括
最新的人工智能 (AI) 模型,GPT-4o,在与人类专家相比,在X射线图上解释创伤性骨病理方面显示出明显较低的准确性. 目前的人工智能能力对于复杂的医学成像诊断是有限的.
科学领域:
- 医学成像和诊断 医学成像和诊断
- 医疗保健中的人工智能
- 放射学 放射学是一门学科.
背景情况:
- 开放AI的GPT-4o是一种新的AI模型,可以处理视觉数据,为创伤放射学评估提供了潜力.
- 评估人工智能在医学诊断中的作用对于推进医疗保健技术至关重要.
研究的目的:
- 评估GPT-4o在解释创伤性骨病理的放射图的诊断效果.
- 为了比较GPT-4o与紧急医疗和骨科专家的性能.
主要方法:
- GPT-4o和人类专家 (10例紧急医疗,10例骨科) 解释了25例创伤X射线病例.
- 这些病例涉及上肢和下肢的创伤性骨病理.
- 通过在有限时间内识别骨折或脱位的准确性来衡量性能.
主要成果:
- 人类专家获得了高准确度 (紧急医疗: 82.8%,整形外科: 87.2%).
- GPT-4o的准确性显著降低,为11.2%.
- 统计分析证实GPT-4o的表现明显低于专家 (p < 0.001).
结论:
- 目前GPT-4o对创伤性骨病理的放射解读能力有限,低于人类专家.
- 人类专业知识对于创伤诊断至关重要.
- 在将人工智能应用于复杂的医学成像任务方面存在挑战.
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