心血管成像中的人工智能:当前的景观,临床影响和未来的方向
Sudeep Edpuganti1, Amna Shamim1, Vilina Hemant Gangolli1
1Department of Medicine, Faculty of Medicine, Tbilisi State Medical University, Tbilisi, Georgia.
Discoveries (Craiova, Romania)
|August 7, 2025
概括
人工智能 (AI) 正在通过自动化心声学,CT和MRI诊断来彻底改变心血管 (CV) 成像. 人工智能提高了准确性,并通过先进的分析和验证实现了主动,个性化的简历护理.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 医学诊断 医学诊断 医学诊断
背景情况:
- 心血管 (CV) 图像正在经历由人工智能 (AI) 推动的重大转型.
- 人工智能正在自动化和增强各种模式的诊断过程,包括心声学,CT,MRI和核成像.
研究的目的:
- 审查心血管成像人工智能应用的最新进展.
- 批判性地分析挑战,并讨论在CV诊断中实施AI的风险降低策略.
- 探索人工智能的未来潜力,使主动和个性化的心血管保健成为可能.
主要方法:
- 总结人工智能的最新发展,重点关注卷积神经网络和深度学习.
- 对人工智能性能指标的分析,例如与手工方法和准确率的一致性.
- 审查FDA批准的平台及其临床翻译.
- 讨论诸如算法偏见,可解释性,数据隐私和监管方面的持久问题.
- 探索风险降低策略,包括联合学习和人类循环监督.
主要成果:
- 人工智能在冠状动脉评分 (近乎完美一致) 和冠状动脉CT血管造影上的狭窄检测 (≥96%准确度) 等任务中表现出高准确度.
- 在心脏MRI中实现自动细分和 perfusion 分析,实现高的 Dice 系数 (≥0.93).
- 几个AI平台已经获得FDA批准,表明临床翻译.
结论:
- 人工智能显著提高了心血管成像诊断的准确性和效率.
- 解决诸如偏见,隐私和监管等挑战对于广泛采用人工智能至关重要.
- 未来的心血管保健可以通过多式人工智能,可穿戴设备和预测分析来主动和个性化,需要验证和跨学科合作.
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