人工智能在心声学中的作用:临床更新
Daniel Aziz1, Kameswari Maganti2, Naveena Yanamala2
1Department of Internal Medicine, Rutgers - Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Current cardiology reports
|December 13, 2023
概括
人工智能 (AI) 工具正在推进回声心脏图像分析和患者预后. 然而,将这些AI进步整合到复杂的临床决策和治疗行动中需要进一步的证据和考虑伦理影响.
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:
- 人工智能 (AI) 显著提升了心声回声学,为图像识别,自动测量,细分和预测提供了工具.
- 尽管开发了人工智能工具,但将这些测量方法整合到复杂的疾病识别和治疗干预中仍然存在挑战.
研究的目的:
- 审查人工智能应用在心声回声学中的增长.
- 探索人工智能在心声回声学中的临床影响,监管,法律和伦理方面的考虑.
主要方法:
- 对人工智能用于心声回声学的最新进展的审查.
- 分析AI在图像采集,处理和预测建模方面的潜力.
- 检查将其集成到临床决策支持系统中的情况.
主要成果:
- 人工智能在用户引导的图像采集和处理中展示了积极的数据.
- 人工智能使精确的定量回声心脏学特征确定和预测模型构建成为可能.
- 人工智能为无集成到临床决策支持系统提供了潜力.
结论:
- 人工智能是一个强大的,不断增长的工具,在心脏病实践中具有革命性的潜力.
- 为了在临床决策中实施异构的人工智能系统,需要进一步的证据.
- 人工智能在心声回声学中的监管,法律和伦理方面需要仔细考虑.
相关概念视频
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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
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01:20Imaging Studies for Cardiovascular System II:Types of Echocardiography
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Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
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Transthoracic Echocardiography (TTE)
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