心血管成像和介入心脏病学中的人工智能:新兴趋势和临床影响
Maryam Alsharqi1, Elazer R Edelman1,2
1Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts.
通过整合多种成像方法,人工智能 (AI) 正在改变心血管成像和干预心脏病学. 人工智能提高了诊断准确度,指导干预,并个性化了患者护理,改善了临床实践中的工作流程.
科学领域:
- 心血管成像 - 心血管成像
- 干预心脏病学 干预心脏病学
- 人工智能应用程序 人工智能应用程序
背景情况:
- 非侵入性心血管成像帮助诊断,干预指导和预后.
- 多模式成像对于诸如心力衰竭和心房动等复杂疾病至关重要.
- 干预性心脏病学依赖于准确的成像来决定决策和程序的成功.
研究的目的:
- 审查人工智能在非侵入性心血管成像和干预性心脏病学方面的进展.
- 讨论AI在该领域的临床应用,挑战和未来趋势.
- 解决在临床实践中安全实施人工智能工具的考虑.
主要方法:
- 在心血管成像和干预心脏病学中对人工智能的当前文献的综述.
- 分析AI与各种成像模式的整合.
- 探索AI在决策和工作流程优化中的作用.
主要成果:
- 人工智能通过统一多种模式来彻底改变心血管成像.
- 人工智能工具越来越多地嵌入到临床工作流程中,提高了精度和量化.
- 人工智能促进了个性化干预,并改善了干预心脏病学的决策.
结论:
- 人工智能是现代心血管成像和干预心脏病学的组成部分.
- 了解AI机制对于利用其潜力和避免偏见至关重要.
- 人工智能为改善患者结果和临床工作流程提供了重大前景.
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