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Shlomo Y Shaulian1, Dhir Gala2, Amgad N Makaryus3,4
1Yeshiva College, Yeshiva University, New York, NY, USA.
Expert review of medical devices
|June 9, 2025
概括
人工智能 (AI) 正通过改进图像采集和分析来改变心声回声学. 虽然存在诸如偏见之类的挑战,但人工智能有望通过心脏超声波的精度和可访问性来增强心血管护理.
科学领域:
- 心血管成像 - 心血管成像
- 医疗人工智能 医疗人工智能
- 心声回声扫描 (Echocardiography) 是一种心声回声扫描.
背景情况:
- 心声回声学已经经历了重要的技术进步.
- 人工智能 (AI) 的整合是关键的发展,有助于图像采集和分析.
研究的目的:
- 审查人工智能在各种心声回声学模式中的整合.
- 检查AI在增强图像采集,分析和诊断性能方面的作用.
- 突出AI在心脏超声波中的临床相关性和实际应用.
主要方法:
- 使用目标关键字搜索PubMed的文献搜索.
- 专注于2020年以后的同行评审文章,包括基础的早期研究.
- 对临床相关性发现的专题组织.
主要成果:
- 人工智能有助于获得诊断质量的心声回声图像.
- 人工智能通过多种方式自动化复杂的心脏分析.
- 人工智能提高了常规,重症监护和复杂成像诊断的诊断性能.
结论:
- 人工智能集成提供了无与伦比的潜力,可以彻底改变心血管保健.
- 克服算法偏见和确保临床医师培训等挑战对于成功实施至关重要.
- 人工智能在心脏超声波中的好处预计将超过适当应用的障碍.
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