在干预心脏病学中利用人工智能:对当前应用的系统审查
Priyansh Patel1,2, Besiki Davitashvili3, Sai Sujana Chitturi4
1Department of Cardiovascular Medicine, University of Miami Miller School of Medicine, Miami, USA.
Cureus
|August 8, 2025
概括
人工智能 (AI) 正在改变干预心脏病学,提高诊断和程序. 解决数据隐私等挑战是人工智能在心血管保健中的关键.
科学领域:
- 心血管医学 心血管医学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 干预性心脏病学已经取得了重大进展,包括皮肤透光冠状动脉血管造形术 (PTCA) 和透气管大动脉置换术 (TAVR).
- 人工智能 (AI) 正在成为这个领域的一个变革性工具.
- 本系统性审查审查了人工智能在干预心脏病学中的当前状态.
研究的目的:
- 探索当前的情景,方法和AI在干预心脏病学中的应用.
- 确定人工智能,特别是机器学习 (ML) 和深度学习 (DL) 如何提高诊断准确性和程序效率.
- 评估AI在预测心血管事件和指导治疗方面的潜在临床应用.
主要方法:
- 根据首选报告准则进行了全面的文献搜索.
- 在数据提取和质量评估后,确定了20项研究.
- 审查的重点是机器学习 (ML) 和深度学习 (DL) 应用.
主要成果:
- 包括ML和DL在内的AI提高了干预心脏病学的诊断准确性和程序效率.
- ML有助于检测心律失常和冠状动脉斑块的特征.
- DL支持成像解释,机器人导航和导管跟踪,有可能预测心肌梗塞和个性化治疗.
结论:
- 人工智能为改善患者护理,程序精度和干预心脏病学资源利用提供了巨大的潜力.
- 必须通过协作努力和强大的数据共享来解决数据隐私,算法透明度和通用性等挑战.
- 未来的优先事项包括将人工智能集成到临床工作流程中,解决监管障碍,并确保可用于道德和安全采用的解释性.
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