人工智能 (ChatGPT) 准备好在现实生活中评估心电图吗? 现在还没有!
Volkan Çamkıran1, Hüseyin Tunç1, Batool Achmar1
1Bahçeşehir Üniversite Hastanesi Medical Park Göztepe, İstanbul, Turkey.
Digital health
|March 13, 2025
概括
心脏病学家在解释心电图 (ECG) 中显著优于ChatGPT AI模型. 虽然人工智能显示出潜力,但它需要进一步开发复杂诊断中的临床可靠性.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 电心电图 (ECG) 对于诊断心脏疾病至关重要.
- 人工智能 (AI) 在医疗诊断中的整合正在迅速推进.
- 人们越来越需要易于使用的诊断工具,特别是在专业人员访问有限的地区.
研究的目的:
- 评估基于ChatGPT的AI模型在解释心电图的有效性和准确性.
- 将AI模型的诊断性能与心脏病学家进行比较.
- 探索AI在心电图解释中的潜在临床实用性.
主要方法:
- 分析了不同难度的107个ECG病例.
- 使用了三种基于ChatGPT的AI模型 (GPT-ECGReader,GPT-ECGAnalyzer,GPT-ECGInterpreter) 进行分析.
- 人工智能模型的性能与两名心脏病学家使用统计测试 (奇平方,费舍尔精确) 的性能进行了比较.
主要成果:
- 心脏病学家的准确性比人工智能模型 (57.94%-62.62%) 高得多 (92.52%).
- 人工智能模型在女性患者中表现稍好一些,但在统计学上并不显著.
- 心脏病学家在所有心电图难度级别和诊断心律失常和结构性心脏病模式方面都超过了人工智能.
结论:
- 基于ChatGPT的AI模型对心电图解释有希望,但目前缺乏足够的临床可靠性.
- 对于当前的AI诊断工具来说,心脏病学家对人类的监督至关重要.
- 需要进一步的研究来提高AI的准确性,特别是对于复杂的ECG解释.
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