| Literature DB >> 31554426 |
Yugyung Lee1, Krishna Veerubhotla2, Myung Ho Jeong3, Chi H Lee2.
Abstract
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.Entities:
Keywords: cardiovascular stents; deep learning; personalized devices
Year: 2019 PMID: 31554426 DOI: 10.1177/1074248419878405
Source DB: PubMed Journal: J Cardiovasc Pharmacol Ther ISSN: 1074-2484 Impact factor: 2.457