人工智能在心声学:时间是现在.
Amro Sehly1, Biyanka Jaltotage1, Albert He1
1Department of Cardiology, Fiona Stanley Hospital, WA 6150 Murdoch, Australia.
Reviews in cardiovascular medicine
|July 30, 2024
概括
人工智能 (AI) 正在通过机器学习和深度学习改变心声回声学,增强诊断和患者护理. 然而,需要实践的临床结果研究和伦理考虑才能得到广泛采用.
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) 越来越多地融入临床医学,机器学习 (ML) 和深度学习 (DL) 在心脏病学中显示出显著的前景.
- 心脏回声学是评估心血管疾病的主要工具,由于其广泛的数据和安全性,它非常适合人工智能进步.
研究的目的:
- 审查人工智能在心声回声学中的影响和潜力.
- 确定当前的应用,挑战和人工智能在心脏成像中的未来方向.
主要方法:
- 审查人工智能在心声回声学中的应用,包括培训,图像采集,解释,分析,诊断,预测和表型开发.
- 讨论临床实施的障碍,例如需要临床结果研究和伦理考虑.
主要成果:
- 人工智能在各种心声回声测试任务中表现出潜力,经常与人类的性能相匹配或超过.
- 现实世界临床应用的重大障碍包括缺乏基于结果的验证和未解决的法律/道德问题.
结论:
- 人工智能对心声回声学具有变革性的潜力,提高了效率和培训.
- 进一步的大规模,以结果为重点的试验和多学科合作对于将AI纳入常规临床实践至关重要.
相关概念视频
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Transthoracic Echocardiography (TTE)
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