Department of Cardiovascular Medicine, Tokushima University Hospital, 2-50-1 Kuramoto, Tokushima, Japan.
Curr Cardiol Rep. 2020 Jul 9;22(9):89. doi: 10.1007/s11886-020-01348-4.
Recent development in artificial intelligence (AI) for cardiovascular imaging analysis, involving deep learning, is the start of a new phase in the research field. We review the current state of AI in cardiovascular field and discuss about its potential to improve clinical workflows and accuracy of diagnosis.
In the AI cardiovascular imaging field, there are many applications involving efficient image reconstruction, patient triage, and support for clinical decisions. These tools have a role to support repetitive clinical tasks. Although they will be powerful in some situations, these applications may have new potential in the hands of echo cardiologists, assisting but not replacing the human observer. We believe AI has the potential to improve the quality of echocardiography. Someday AI may be incorporated into the daily clinical setting, being an instrumental tool for cardiologists dealing with cardiovascular diseases.
人工智能（AI）在心血管成像分析领域的最新进展，包括深度学习，是该研究领域的新阶段的开始。我们综述了 AI 在心血管领域的现状，并讨论了其提高临床工作流程和诊断准确性的潜力。
在心血管成像的 AI 领域，有许多应用涉及高效的图像重建、患者分诊和对临床决策的支持。这些工具在支持重复性临床任务方面发挥了作用。尽管在某些情况下它们将非常强大，但这些应用在超声心动图专家手中可能具有新的潜力，辅助而不是取代人类观察者。我们相信 AI 有可能提高超声心动图的质量。有朝一日，AI 可能会被纳入日常临床环境，成为心脏病专家处理心血管疾病的重要工具。
