Artificial intelligence in personalized cardiology treatment  

人工智能在个性化心脏病治疗中的应用

作　　者：Abbas Mohammadi Sheida Shokohyar 

机构地区：[1]Internal Medicine Department,Valley Health System,Las Vegas,Nevada 89118,USA [2]Brigham and Women’s Hospital,Harvard Medical School,Boston,Massachusetts 02115,USA

出　　处：《Digital Chinese Medicine》2025年第1期28-35,共8页数字中医药(英文)

摘　　要：Cardiovascular diseases are the leading cause of death,requiring innovative approaches for prevention,diagnosis,and treatment.Personalized medicine customizes interventions according to individual characteristics,with artificial intelligence(AI)playing a key role in analyzing complex data to improve diagnostic accuracy,predict outcomes,and optimize therapies.AI can identify patterns in imaging and biomarkers,facilitating the earlier detection of medical conditions.Wearable devices and health applications facilitate continuous monitoring and personalized care.Emerging fields such as digital Chinese medicine offer additional perspectives by integrating traditional diagnostic principles with modern digital tools,contributing to holistic and individualized cardiovascular care.This study examines the advancements and challenges in personalized cardiovascular medicine,highlighting the need to address issues such as data privacy,algorithmic bias,and accessibility to promote the equitable application of personalized medicine.心血管疾病是导致死亡的重要原因,亟需创新方法以改进其预防与诊疗。个性化医疗通过根据个体特征定制干预措施,在这一领域中,人工智能(AI)通过分析复杂数据在提高诊断准确性、预测预后及优化治疗方案发挥了关键作用。AI能够识别影像学与生物标志物中的模式,从而促进疾病的早期检测。可穿戴设备与健康应用程序促进了持续监测与个体化护理。数字中医药等新兴领域通过将传统诊断原理与现代数字工具相结合,提供了额外的视角,有助于整体和个性化心血管护理。本研究探讨了个性化心血管医疗的前沿进展与当前挑战,强调需解决数据隐私、算法偏倚及可及性等问题,以促进个性化医疗的公平应用。

关 键 词：Artificial intelligence(AI) Machine learning Personalized medicine CARDIOLOGY Patient outcomes Risk stratification Digital Chinese medicine Ethical considerations 

分 类 号：R54[医药卫生—心血管疾病]