Artificial Intelligence: A Game Changer in the Diagnosis, Treatment, and Management of Chronic Heart Failure.

IF 2.4 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Cardiology Reviews Pub Date : 2026-03-06 DOI:10.2174/011573403X410467251117092411

Francisco Epelde

{"title":"Artificial Intelligence: A Game Changer in the Diagnosis, Treatment, and Management of Chronic Heart Failure.","authors":"Francisco Epelde","doi":"10.2174/011573403X410467251117092411","DOIUrl":null,"url":null,"abstract":"Introduction: Chronic heart failure (CHF) represents a major global health burden. This review explores the potential of artificial intelligence (AI) in improving its diagnosis, treatment, and management.Methods: This study conducted a comprehensive literature review to evaluate the current and emerging applications of AI in CHF. Databases, such as PubMed, Scopus, and IEEE Xplore, were searched for peer-reviewed articles published between 2015 and 2025, focusing on AIbased diagnostic tools, predictive modeling, treatment personalization, and remote monitoring systems.Results: Significant advancements were identified in AI-enhanced diagnostics, predictive models for hospital readmissions, personalized treatment optimization, and AI-driven remote monitoring systems. These technologies have demonstrated improvements in diagnostic accuracy, risk stratification, and real-time patient management.Discussion: AI offers substantial benefits for CHF management by enabling data-driven, individualized care. Nonetheless, challenges remain, including variability in data quality, lack of algorithm transparency, and ethical considerations regarding patient privacy and accountability.Conclusion: AI holds transformative potential for CHF management. Its successful integration can enhance diagnostic precision, personalize treatment, and support proactive patient care- ultimately improving outcomes and reducing the global burden of CHF.","PeriodicalId":10832,"journal":{"name":"Current Cardiology Reviews","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2026-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13656237/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Cardiology Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/011573403X410467251117092411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

Introduction: Chronic heart failure (CHF) represents a major global health burden. This review explores the potential of artificial intelligence (AI) in improving its diagnosis, treatment, and management.

Methods: This study conducted a comprehensive literature review to evaluate the current and emerging applications of AI in CHF. Databases, such as PubMed, Scopus, and IEEE Xplore, were searched for peer-reviewed articles published between 2015 and 2025, focusing on AIbased diagnostic tools, predictive modeling, treatment personalization, and remote monitoring systems.

Results: Significant advancements were identified in AI-enhanced diagnostics, predictive models for hospital readmissions, personalized treatment optimization, and AI-driven remote monitoring systems. These technologies have demonstrated improvements in diagnostic accuracy, risk stratification, and real-time patient management.

Discussion: AI offers substantial benefits for CHF management by enabling data-driven, individualized care. Nonetheless, challenges remain, including variability in data quality, lack of algorithm transparency, and ethical considerations regarding patient privacy and accountability.

Conclusion: AI holds transformative potential for CHF management. Its successful integration can enhance diagnostic precision, personalize treatment, and support proactive patient care- ultimately improving outcomes and reducing the global burden of CHF.

查看原文本刊更多论文

人工智能：慢性心力衰竭诊断、治疗和管理的变革者。

慢性心力衰竭（CHF）是一个主要的全球健康负担。本文综述了人工智能（AI）在改善其诊断、治疗和管理方面的潜力。方法：本研究对人工智能在CHF中的应用现状和新兴应用进行了全面的文献综述。检索了PubMed、Scopus和IEEE Xplore等数据库，检索了2015年至2025年间发表的同行评议文章，重点关注基于人工智能的诊断工具、预测建模、治疗个性化和远程监控系统。结果：在人工智能增强的诊断、医院再入院预测模型、个性化治疗优化和人工智能驱动的远程监测系统方面取得了重大进展。这些技术已经证明在诊断准确性、风险分层和实时患者管理方面有所改善。讨论：人工智能通过实现数据驱动的个性化护理，为瑞士法郎管理提供了实质性的好处。尽管如此，挑战仍然存在，包括数据质量的可变性，算法透明度的缺乏，以及关于患者隐私和责任的伦理考虑。结论：人工智能对瑞士法郎管理具有变革潜力。它的成功整合可以提高诊断精度，个性化治疗，并支持积极主动的患者护理-最终改善结果并减少CHF的全球负担。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Current Cardiology Reviews CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

3.70

自引率

10.50%

发文量

117

期刊介绍： Current Cardiology Reviews publishes frontier reviews of high quality on all the latest advances on the practical and clinical approach to the diagnosis and treatment of cardiovascular disease. All relevant areas are covered by the journal including arrhythmia, congestive heart failure, cardiomyopathy, congenital heart disease, drugs, methodology, pacing, and preventive cardiology. The journal is essential reading for all researchers and clinicians in cardiology.