人工智能在心血管成像中的进步和应用:综合性综述
Federico Fortuni1, Giuseppe Ciliberti2, Benedetta De Chiara3
1Cardiology and Cardiovascular Pathophysiology, S. Maria Della Misericordia Hospital, University of Perugia, Piazzale Giorgio Menghini, 3, 06129 Perugia, Italy.
European heart journal. Imaging methods and practice
|January 8, 2025
概括
人工智能 (AI) 通过各种方式增强心血管成像. 人工智能改善了诊断,风险分层和工作流程效率,但专家心脏病学家的判断对于复杂的病例至关重要.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能的人工智能
- 医疗技术 医疗技术 医学技术
背景情况:
- 人工智能 (AI) 正在彻底改变心血管成像.
- 人工智能提供了心声回声学,CCT,CMR,干预心脏病学,核医学和电生理学方面的进展.
研究的目的:
- 审查AI在心血管成像中的临床应用.
- 突出AI在改善患者选择,图像采集,优化,数据整合,诊断和风险分层方面的作用.
- 讨论AI在心血管成像中的优点和局限性.
主要方法:
- 关于人工智能在心血管成像模式中的应用现有文献的综述.
- 分析AI对诊断准确度,工作流效率和临床决策的影响.
- 在不同的成像技术中探索AI的好处和缺点.
主要成果:
- 人工智能改善了患者选择,减少了图像采集时间,并增强了图像优化.
- 人工智能有助于整合来自不同成像和临床来源的数据.
- 人工智能有助于诊断和风险分层,加速图像解释和提高准确性.
结论:
- 人工智能是一个强大的工具,通过提高效率和准确性来改变心血管成像.
- 虽然人工智能简化了例行任务和辅助诊断,但它补充了,而不是取代了心脏病学家的专业知识.
- 人工智能具有显著的潜力,可以改善患者护理和临床决策.
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