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Recent Advances of Artificial Intelligence in Cardiovascular Disease.
Journal of Biomedical Nanotechnology ( IF 2.9 ) Pub Date : 2020-12-15 , DOI: 10.1166/jbn.2020.2955
Zhu Chen , Changhu Xiao , Haihua Qiu , Xinxing Tan , Lian Jin , Yi He , Yuan Guo , Nongyue He

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.

中文翻译:

人工智能在心血管疾病中的最新进展。

心血管疾病(CVD)是最严重的健康疾病之一,其患病率不断提高,发病率和死亡率也很高。尽管近年来CVD的诊断和治疗取得了巨大突破,但它仍需要进一步的增强,这导致对新技术的需求。人工智能(AI)是新兴的科学领域,已被广泛用于指导疾病的诊断,评估和治疗。AI技术在CVD中有望探索新的致病基因表型,指导最佳的个体化治疗策略,改善出院患者的管理和质量,预测疾病的预后以及作为辅助治疗工具。因此,我们总结了AI技术在CVD的临床诊断,评估和治疗中的最新应用,
更新日期:2020-12-16
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