Artificial intelligence as the missing integrator in heart failure care — from remote monitoring to personalized therapy
Year: 2026
Type: article
Abstract: Heart failure (HF) remains a leading cause of morbidity, mortality, and healthcare utilization worldwide, despite the availability of effective evidence-based therapies. The principal challenge is no longer the absence of treatment options but the limited capacity of traditional care models to deliver guidelinedirected medical therapy (GDMT) consistently and at scale. The COVID-19 pandemic exposed the fragility of hospital-centered HF care, highlighting the need for more resilient, patient-centered management strategies. Remote monitoring (RM) has been proposed as a solution, yet its clinical impact has been inconsistent due to fragmented data streams, declining patient adherence, and heavy reliance on continuous human oversight. Artificial intelligence (AI) offers an opportunity to address these limitations by integrating multidimensional clinical data, enabling earlier detection of deterioration, supporting adherence, and prioritizing clinically meaningful interventions. Emerging evidence suggests that AI-assisted workflows can accelerate GDMT optimization and improve surrogate and clinical outcomes when implemented within supervised care pathways. This has led to the concept of next-generation remote monitoring (NGRM), in which AI analyzes longitudinal physiological and behavioral signals to generate context-aware alerts and actionable recommendations while reducing clinical workload. Successful implementation, however, requires rigorous validation, clear governance, integration with clinical workflows, and safeguards for safety, equity, and accountability. When embedded within structured HF care pathways, AI-enabled monitoring may help bridge the persistent gap between evidence and real-world implementation.
Source: Cardiology Journal
DOI: 10.5603/cj.111624
Authors: Jacek Kubica, Tomasz Topoliński, Robert Gajda, Przemysław Musz, Aldona Kubica, Łukasz Szarpak, Krzysztof Nowicki, Marcin Ziółkowski, Sebastian Meszyński, Sławomir Grzelak, Oleksandr Sokolov, Jakub Ratajczak, Julia M. Umińska, Piotr Niezgoda, Klaudyna Grzelakowska, Przemysła Podhajski, Karolina Obońska, Ewa Laskowska, Ryszard Piotrowicz, Agnieszka Tycińska, Giuseppe Specchia, Stefan Frantz, Stefan Störk, Eliano P. Navarese
Institutions: Nicolaus Copernicus University, Collegium Medicum in Bydgoszcz, John Paul II Catholic University of Lublin, Baylor College of Medicine, Bydgoszcz University of Science and Technology, Institute of Cardiology, Medical University of Białystok, University of Würzburg, Universitätsklinikum Würzburg
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $900
OpenAlex ID: W7140111982