Deep Learning in Personalization of Cardiovascular Stents.

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 des...

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Publicado en:Journal of Cardiovascular Pharmacology & Therapeutics Vol. 25; no. 2; pp. 110 - 121
Autores principales: Lee, Yugyung, Veerubhotla, Krishna, Jeong, Myung Ho, Lee, Chi H.
Formato: review Journal Article
Publicado: Sage Publications Inc. Mar2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2020
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        atl: Deep Learning in Personalization of Cardiovascular Stents.
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          Lee, Yugyung
          Veerubhotla, Krishna
          Jeong, Myung Ho
          Lee, Chi H.
        affil: School of Computing and Engineering, University of Missouri-Kansas City, MO, USA
      sug:
        subj:
          Prosthesis Design
          Stents
          Coronary Arteriosclerosis Therapy
          Cardiovascular Care Equipment and Supplies
          Computer-Aided Design
          Software
          Cardiovascular Care Adverse Effects
          Predictive Value of Tests
          Coronary Arteriosclerosis Physiopathology
          Patient Selection
          Coronary Arteriosclerosis
      ab: 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.
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        Journal Article
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    language: English
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