人工智能和机器学习在心血管成像和诊断中的作用:当前见解和未来方向
Maria Gabriela Cerdas1, Sucharitha Pandeti2, Likhitha Reddy3
1Medicine, Universidad de Ciencias Médicas (UCIMED), San José, CRI.
Cureus
|November 25, 2024
概括
人工智能和机器学习正在彻底改变心血管成像,以便更好地诊断. 这些技术提高了检测心血管疾病的准确性和效率,心血管疾病是全球首要的死亡原因.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因.
- 对心血管疾病的准确及时诊断至关重要.
- 人工智能 (AI) 和机器学习 (ML) 在心血管诊断和成像方面提供了变革性的潜力.
研究的目的:
- 审查AI和ML在心血管成像中的当前应用.
- 探索AI/ML在这个领域的优势,挑战和未来方向.
- 要突出对各种成像方式和临床整合的影响.
主要方法:
- 这篇叙事综述综合了有关心血管成像中的AI和ML的现有文献.
- 它涵盖了各种AI/ML技术,如深度学习,神经网络和CNN.
- 专注于心声回声学中的应用,包括细分和功能分析.
主要成果:
- 人工智能和ML技术已经显著提升了心血管成像.
- 应用包括改善心室细分,射出分数测量和墙壁运动分析.
- 在诊断准确性和效率方面有明显的改进.
结论:
- 人工智能和机器学习在彻底改变心血管成像方面显示出巨大的前景.
- 这些技术正在提高诊断能力和效率.
- 将其纳入临床实践是一个关键的未来途径.
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