Recent Advances of Artificial Intelligence in Cardiovascular Disease.

Journal: Journal of biomedical nanotechnology
Published Date:

Abstract

Cardiovascular disease (CVD) is one of the most serious health disorders with increasing prevalence and high morbidity and mortality. Although diagnosis and treatment of CVD have achieved huge breakthrough in recent years, it still needs additional enhancements, which result in the demand for new techniques. Artificial intelligence (AI) is an emerging science field that has been widely used to guide diseases diagnosis, evaluation and treatment. AI techniques are promising in CVD to explore novel pathogenic genes phenotype, guide optimal individualized therapeutic strategy, improve the management and quality of discharged patients, predict disease prognosis, and as adjuvant therapy tool. Thus, we summarize the latest application of AI techniques in clinical diagnosis, evaluation and treatment of CVD, aiming to provide novel beneficial evidence of AI and promote its application in CVD.

Authors

  • Zhu Chen
    Economical Forest Cultivation and Utilization of 2011 Collaborative Innovation Center in Hunan Province, Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, China.
  • Changhu Xiao
  • Haihua Qiu
  • Xinxing Tan
  • Lian Jin
  • Yi He
    National Institutes for Food and Drug Control, 2 Tiantan Xili, Beijing 100050, China.
  • Yuan Guo
    Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
  • Nongyue He
    State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.