冠状动脉血管学中的人工智能:与干预性心脏病学家对比ChatGPT-4o的诊断准确度
John Michael Hoppe1, Antonia Kellnar2, David Esser2
1Department of Medicine IV, Ludwig-Maximilians-Universität München, Munich, Germany.
Open heart
|July 20, 2025
概括
人工智能 (AI) 对冠状动脉血管学解释有希望,但GPT-4o
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:
- 冠状动脉疾病 (CAD) 仍然是全球死亡的主要原因.
- 冠状动脉图是CAD诊断的黄金标准,但解释可能是主观的.
- 人工智能 (AI) 为心脏病学中的自动化,客观评估提供了潜力.
研究的目的:
- 为了评估ChatGPT与生成预训练变压器 (GPT) -4o的性能,用于自动化冠状动脉血管图解.
- 将GPT-4o的诊断结果和支架建议与专家心脏病学家的评估进行比较.
主要方法:
- 从100名患者的诊断冠状动脉血管图视图中提取了最大对比度框架.
- 匿名图像被GPT-4o分析.
- 将GPT-4o的解释与专家心脏病学家的评估进行了比较.
主要成果:
- 在98%的图像中,GPT-4o确定了冠状动脉血管.
- 检测需要干预的病变的总体灵敏度为71.6% (特异性为57.2%).
- 通过额外的临床信息 (87%的目标血管识别) 提高了性能.
结论:
- 在冠状动脉血管学解释中,GPT-4o显示出作为辅助工具的潜力.
- 诊断准确性与上下文临床数据显著提高.
- 需要进一步开发人工智能来进行动态成像分析和复杂结构以提高临床效用.
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