心血管疾病(cardiovascular diseases)是我国城乡居民的首要死亡原因,其特征表现为病程漫长、症状多样及致病因素复杂,给心血管疾病的诊断与管理带来了诸多挑战。近年来, 人工智能(artificial intelligence, AI)技术的迅猛发展为心血管疾病的早期健康管理与疾病预测提供了前所未有的机遇。通过对大量健康数据进行深度学习与智能分析,AI技术能够精准识别心血管疾病潜在风险,并助力实现个性化健康管理,有效降低疾病发生率及延缓疾病进展。AI技术的应用促进了心血管疾病早期健康监测与预防机制的完善,同时提高了临床影像学诊断及手术治疗的准确性和有效性。此外,AI技术亦被应用于生物大数据分析与新药研发。本文旨在综述AI技术在心血管疾病领域的应用现状,探讨其在提升心血管疾病诊断与治疗效率方面的潜力与挑战。AI将在心血管疾病的预防、诊断和治疗中扮演更加关键的角色,推动智慧医疗与精准医学的进步。

Cardiovascular diseases (CVDs) are the leading cause of death among both urban and rural residents in China, which are characterized by an extended disease course, diverse symptoms, and complex etiological factors, posing significant challenges to their diagnosis and management. In recent years, the rapid development of artificial intelligence (AI) technologies has provided unprecedented opportunities for early health management and disease prediction in CVDs. By leveraging deep learning and the intelligent analysis of massive health data, AI technologies can accurately identify the potential risks for CVDs and facilitate personalized health management, effectively reducing their incidence and delaying disease progression. The applications of AI technologies have facilitated the improvement of early health monitoring and CVD prevention, as well as improved the accuracy and effectiveness of diagnostic imaging and surgical interventions. In addition, AI technologies have also been applied in biological big data analysis and new drug development. The purpose of this review is to summarize the current applications of AI technologies in CVDs, exploring their prospects and potential challenges in improving diagnostic and therapeutic efficiency. It is anticipated that AI technologies will play an increasingly critical role in the prevention, diagnosis, and treatment of CVDs, thus promoting the advancement of smart healthcare and precision medicine.