Lee Yugyung, Veerubhotla Krishna, Jeong Myung Ho, Lee Chi H
School of Computing and Engineering, University of Missouri-Kansas City, MO, USA.
Division of Pharmaceutical Sciences, School of Pharmacy, University of Missouri-Kansas City, MO, USA.
J Cardiovasc Pharmacol Ther. 2020 Mar;25(2):110-120. doi: 10.1177/1074248419878405. Epub 2019 Sep 25.
Deep learning (DL) application has demonstrated its enormous potential in accomplishing biomedical tasks, such as vessel segmentation, brain visualization, and speech recognition. This review article has mainly covered recent advances in the principles of DL algorithms, existing DL software, and designing strategies of DL models. Latest progresses in cardiovascular devices, especially DL-based cardiovascular stent used for angioplasty, differential and advanced diagnostic means, and the treatment outcomes involved with coronary artery disease (CAD), are discussed. Also presented is DL-based discovery of new materials and future medical technologies that will facilitate the development of tailored and personalized treatment strategies by identifying and forecasting individual impending risks of cardiovascular diseases.
深度学习（DL）应用在完成生物医学任务方面已展现出巨大潜力，如血管分割、脑部可视化和语音识别。这篇综述文章主要涵盖了DL算法原理、现有DL软件以及DL模型设计策略的最新进展。讨论了心血管设备的最新进展，特别是用于血管成形术的基于DL的心血管支架、鉴别和先进诊断手段以及与冠状动脉疾病（CAD）相关的治疗结果。还介绍了基于DL的新材料发现和未来医学技术，这些将通过识别和预测个体即将面临的心血管疾病风险，促进定制化和个性化治疗策略的发展。
