在多血管冠状动脉疾病中,AI驱动和心脏团队决策的比较
Stefano Migliaro1, Roberto Celotto1, Romina Teliti1
1Department of Cardiovascular Sciences, European Hospital and Aurelia Hospital, 00165 Rome, Italy.
Journal of clinical medicine
|July 12, 2025
概括
像ChatGPT这样的人工智能 (AI) 在治疗多血管冠状动脉疾病 (CAD) 方面与心脏团队达成中等协议. 虽然人工智能可以提供帮助,但对于复杂的案件,人类的判断仍然至关重要.
科学领域:
- 心脏病学 心脏病学
- 医疗人工智能 医疗人工智能
背景情况:
- 多血管冠状动脉疾病 (CAD) 需要在穿皮冠状动脉干预 (PCI) 和冠状动脉旁路移植 (CABG) 之间做出复杂的治疗决策.
- 人工智能 (AI),包括生成语言模型,正在成为帮助临床决策的潜在工具.
研究的目的:
- 评估人工智能 (ChatGPT) 建议与人类心脏团队 (HT) 关于多血管CAD管理的决定之间的一致性.
- 为了比较AI在推PCI与CABG方面的准确性.
主要方法:
- 在多学科心脏团队会议上讨论的137名多血管CAD患者的回顾性观察研究.
- 针对治疗建议 (PCI与CABG) 提交给ChatGPT的标准化临床简报.
- 统计分析以评估AI和HT决策之间的一致性.
主要成果:
- 聊天GPT在治疗建议中实现了65%的整体准确性.
- 与PCI (44.4%) 相比,对CABG (82.4%) 的同意率更高.
- 48名患者的异调,偏向于推CABG;年龄,糖尿病和CKD预测异调.
结论:
- 人工智能 (ChatGPT) 在多血管CAD中与心脏团队的决定显示了适度的一致性,有利于CABG.
- 当前人工智能的局限性强调了人类临床判断的持续必要性.
- 需要进一步的研究来完善人工智能融入临床决策途径.
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