Artificial intelligence in neurocardiology: decoding brain–heart network interactions for clinical and translational insights
Year: 2026
Type: article
Abstract: The intricate interplay between the brain and heart underpins both physiological regulation and pathophysiological processes, yet decoding these interactions remains a formidable challenge. Recent advances in artificial intelligence (AI) offer transformative opportunities to map, model, and predict brain-heart network dynamics with unprecedented precision. This review synthesizes current knowledge on AI approaches applied to neurocardiology, encompassing multimodal data integration from neuroimaging, electrophysiology, autonomic signals, and cardiovascular monitoring. We examine machine learning and deep learning strategies for identifying biomarkers, forecasting adverse cardiac events, and elucidating mechanisms linking neurological, psychiatric, and cardiovascular disorders. Clinical applications are explored across heart failure, arrhythmias, stroke-induced cardiac dysfunction, epilepsy, and stress-related conditions, highlighting AI's potential for personalized risk stratification. The role of wearable devices, digital phenotyping, and real-world data collection in continuous brain-heart monitoring is discussed, alongside AI-enabled early warning systems. Critical considerations regarding data quality, bias, interpretability, privacy, and ethical governance are emphasized to guide responsible deployment. Finally, we outline emerging directions, including integrative digital twins, federated AI, and closed-loop neuromodulation. By bridging computational innovation and clinical neuroscience, AI-driven approaches promise to redefine neurocardiology, offering predictive, mechanistic, and therapeutic insights into the brain-heart axis.
Source: Frontiers in Neuroscience
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: G1000608447, G1107707869, G1196682224, G1214234794, Molecular regulation of skeletal muscle thermogenesis, G1413706045, G1512127578, Inositol 1,4,5-trisphosphate receptors and activation of cardiac fibroblasts in ischemia/reperfusion injury, G1918939241, Beta Cell Intracellular Calcium and Diabetes, Functional role of IP3 receptors in the regulation of cardiac myofibroblasts, New Insights in Fabry Disease, G2585684547, Modulation of Mitofusin Activity to Treat Heart Disease, G280444578, G281933567, G2836354684, G2936541750, A paradigm-shifting idea in storage-disease cardiomyopathy, Caspase-9 as a nodal point connecting necrotic and apoptotic cell death in myocardial infarction, Mechanisms of cardiovascular disease, G4480573366, G464942673, G4805383407, G522617745, G5298350625, G5423166509, G6133271709, G6160409729, A Novel Strategy Against Cardiotoxicity, G6505368759, G6737277850, G7492960808, G7744241654, G790170206, G802470759, Purposeful Outreach for Diversity and Inclusion of Underrepresented in Medicine (PODIUM) Physician-Scientists, G8445767824, G8551577206, G873634175, G8970445542, G9000020154, G9000036909, G9000045154, G9000045632, G9000148014, G9000203699, G9000291687, G981417163
OpenAlex ID: W7143525905