Precision in Cardiac Care

Cardiovascular care is becoming increasingly proactive,data-driven and personalised. Earlier risk detection, more precise diagnosis and better use of patient data are creating new opportunities to prevent disease progression and tailor treatment more closely to individual needs.

Artificial intelligence, digital biomarkers and targeted approaches are accelerating this shift, but technology alone is not enough. Effective implementation also depends on resilient and interoperable systems, sound governance, clinical judgement, workforce readiness and sustained trust. Financial

models, education and leadership further shape whether innovation can translate into meaningful improvements in care.

This issue examines how precision can be advanced across cardiovascular care and the wider healthcare environment that supports it. The contributions explore earlier risk detection and

diagnosis, AI-enabled and personalised care, resilient digital infrastructure, governance, clinical judgement, workforce readiness, sustainable financing, leadership and education.

Richard Dasselaar explains how AI-enabled precision cardiology can turn early risk detection into preventive action, translating into better patient outcomes.

Rafael Vidal-Perez explores how digital biomarkers and AI can support earlier diagnosis, personalised care and, consequently, precision cardiovascular medicine.

Ruplekha Choudhurie discusses how biomarkers, AI and targeted therapies can enable earlier, more precise cardiovascular care.

Anna Franzone et al. introduce RESIL-Card, a Europe-wide tool that helps hospitals identify vulnerabilities and strengthen continuity in cardiovascular care during future crises.

Dženana Hrustemović outlines how digital transformation can strengthen cardiac care through interoperable data, AI, tele-cardiology, governance and workforce readiness.

Mark Holmshaw reflects on why trust, credibility and clear communication still matter most in healthcare leadership and long-term business relationships.

Sara Magdalena Goldberger highlights why agentic AI requires continuous runtime governance to protect clinical workflows and maintain accountability.

Mathias Goyen considers why structured healthcare systems must preserve clinical judgement when protocols, guidelines and decision support tools cannot fully resolve uncertainty.

Jonathan Christensen assesses the global slowdown in hospital EHR purchasing and the growing role of regional vendors, platform extensions and shared deployments.

Stephen Farrington shows how smarter funding mechanisms can align prevention’s long-term economic value with shortterm financial pressures and enable wider implementation.

Nadra Gadeed emphasises that AI adoption in private healthcare depends on workforce readiness, leadership accountability, organisational trust and sustained board-level governance.

Iris Meyenburg-Altwarg argues that EdTech can improve nursing education only when innovation is guided by pedagogy, evaluation and measurable impact on competence and care.

I hope this collection offers useful perspectives on how precision can be translated from technological potential into better decisions, stronger healthcare systems, more effective patient care and promotion of cardiovascular health.

Enjoy!