European Heart Journal最新文献

Cardiac magnetic resonance in sarcoidosis-associated arrhythmia prediction: beyond current guidelines. 心脏磁共振在结节病相关心律失常预测中的应用：超越现行指南。

IF 39.3 1区医学

European Heart Journal Pub Date : 2025-07-15 DOI: 10.1093/eurheartj/ehaf442

Ana Pericao,Vasileios Kouranos,Rakesh Sharma

引用次数: 0

Artificial intelligence in cardiovascular pharmacotherapy: applications and perspectives. 人工智能在心血管药物治疗中的应用与展望。

IF 39.3 1区医学

European Heart Journal Pub Date : 2025-07-15 DOI: 10.1093/eurheartj/ehaf474

Francesco Costa,Juan Jose Gomez Doblas,Arancha Díaz Expósito,Marianna Adamo,Fabrizio D'Ascenzo,Lukasz Kołtowski,Luca Saba,Guiomar Mendieta,Felice Gragnano,Paolo Calabrò,Lina Badimon,Borja Ibañez,Roxana Mehran,Dominick J Angiolillo,Thomas Lüscher,Davide Capodanno

{"title":"Artificial intelligence in cardiovascular pharmacotherapy: applications and perspectives.","authors":"Francesco Costa,Juan Jose Gomez Doblas,Arancha Díaz Expósito,Marianna Adamo,Fabrizio D'Ascenzo,Lukasz Kołtowski,Luca Saba,Guiomar Mendieta,Felice Gragnano,Paolo Calabrò,Lina Badimon,Borja Ibañez,Roxana Mehran,Dominick J Angiolillo,Thomas Lüscher,Davide Capodanno","doi":"10.1093/eurheartj/ehaf474","DOIUrl":"https://doi.org/10.1093/eurheartj/ehaf474","url":null,"abstract":"Recent advances in artificial intelligence (AI) have shown great potential in improving cardiovascular pharmacotherapy by optimizing drug selection, predicting therapeutic efficacy and adverse effects, ultimately improving patient outcomes. Leveraging techniques like machine learning and in silico modelling, AI can identify populations likely to benefit from specific treatments, expedite novel drug discovery and reduce costs. Computational methods can also facilitate the detection of drug interactions and tailor interventions based on real-world data, supporting personalized care. Artificial intelligence-based approaches also show promise in streamlining clinical trial design and execution, leveraging on real-time data on patient responsiveness, enhancing recruitment efficiency. However, in order to fully realize these benefits, robust validation across diverse patient populations is necessary to ensure accuracy and generalizability. In addition, addressing concerns regarding data quality, privacy, and bias is equally critical to avoid exacerbating existing healthcare disparities. Scientific societies and regulatory agencies must ultimately establish standardized frameworks for data management, model certification, and transparency, to enable safe and effective integration of AI into clinical practice. This manuscript aims at systematically reviewing the current state-of-the-art applications of AI in cardiovascular pharmacotherapy, describing their current potential in guiding treatment decisions, refine trial methodologies and support drug discovery.","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":"94 1","pages":""},"PeriodicalIF":39.3,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144630360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Left atrial appendage closure: a reappraisal of atrial fibrillation guidelines. 左心房附件关闭：心房颤动指南的重新评估。

IF 39.3 1区医学

European Heart Journal Pub Date : 2025-07-15 DOI: 10.1093/eurheartj/ehaf454

Jens Erik Nielsen-Kudsk,Lucas V A Boersma,A John Camm

引用次数: 0

Illicit stimulants and sudden cardiac death: fatal attraction and sex interaction. 非法兴奋剂和心脏性猝死：致命的吸引力和性互动。

IF 39.3 1区医学

European Heart Journal Pub Date : 2025-07-15 DOI: 10.1093/eurheartj/ehaf443

Orianne Weizman,Eloi Marijon

引用次数: 0

Hot topics in prevention: resistant hypertension, blood pressure variability, triglycerides, and apoB-containing lipoproteins. 预防的热门话题：顽固性高血压、血压变异性、甘油三酯和载脂蛋白。