J Biomed Nanotechnol. 2020 Jul 1;16(7):1065-1081. doi: 10.1166/jbn.2020.2955.
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.
心血管疾病（CVD）是一种最严重的健康障碍之一，其患病率不断上升，发病率和死亡率都很高。尽管 CVD 的诊断和治疗近年来取得了巨大的突破，但仍需要进一步的改进，这导致了对新技术的需求。人工智能（AI）是一个新兴的科学领域，已被广泛用于指导疾病的诊断、评估和治疗。AI 技术在 CVD 中有很大的应用前景，可以探索新的致病基因表型，指导最佳个体化治疗策略，改善出院患者的管理和质量，预测疾病预后，并作为辅助治疗工具。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，旨在为 AI 提供新的有益证据，并促进其在 CVD 中的应用。
