通过智能手表ECG,ChatGPT可以准确地检测心房动吗?
Yuval Avidan1, Ibrahim Naoum1, Razi Khoury1
1Department of Cardiology, Lady Davis Carmel Medical Center, 7 Michal St., Haifa, Israel.
Heart & lung : the journal of critical care
|May 9, 2025
概括
新的人工智能模型ChatGPT-4o在通过智能手表ECG诊断心房动 (AF) 的准确性有限. 人类专家审查对于可靠的AF检测至关重要,突出显示了当前AI的局限性.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 对于智能手表检测到的心房动 (AF),需要医生确认,增加医疗负担.
- 最新的AI模型ChatGPT-4o (GPT-4o) 提供了先进的图像分析功能.
研究的目的:
- 评估GPT-4o在通过智能手表记录的心电图 (ECG) 来识别AF的诊断性能.
主要方法:
- 使用Apple Watch Series 6®记录了114名AF患者和60名鼻节律 (SR) 的对照患者的单导电心电图.
- 两位心脏病学家独立地对智能手表的心电图进行了分类.
- GPT-4o分析了所有智能手表的心电图记录.
主要成果:
- GPT-4o正确分析了47.3%的AF和71.6%的SR智能手表心电图.
- 果手表的算法在AF方面达到97.3%的准确性,在SR方面达到100%的准确性.
- 没有特定的AF特征预测了GPT-4o的诊断准确性.
结论:
- 目前的GPT-4o功能不足以通过智能手表ECG可靠地进行AF诊断.
- 人类专业知识对于准确的AF检测至关重要.
- 消费者应该意识到AI在诊断心脏病的局限性.
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