For years, cardiovascular medicine has promised a shift from crisis response to continuous prevention. At this year’s Digital Heart Summit in Berlin, BIOTRONIK and more than 120 clinicians, researchers and technologists made the case that artificial intelligence may finally give that vision real momentum — provided health systems can solve the messy structural issues that have stalled digital cardiology in the past.
The discussions centred on a familiar tension: innovation in cardiology is moving quickly, but reimbursement, regulatory alignment and fragmented data infrastructure remain stubbornly slow. Yet unlike earlier waves of enthusiasm around remote monitoring or wearables, the 2025 conversation reflected something firmer — that AI-supported cardiac care is no longer a future scenario but an increasingly practical toolset.
From device data to actionable care
The summit’s opening sessions underscored how cardiac care is expanding beyond implantable devices to full digital ecosystems. Talks on remote solutions and digital care pathways — including new insights from HeartInsight registries in Italy and next-generation features for heart-failure management — highlighted how much high-granularity data clinicians now have at their fingertips.
Speakers repeatedly returned to the same point: data alone isn’t enough. As Prof. Gerhard Hindricks, who chaired the summit, put it, the challenge is building “holistic and smart solutions that support prevention and enable both physicians and patients to make evidence-based decisions”.
That emphasis on evidence is key. Several sessions focused on newly published and ongoing trials, including HERMeS — which reinforced how digital monitoring can reduce hospitalisations and streamline care — and national experiences in Germany, Spain and Poland with reimbursement-supported telecardiology models. These use cases are increasingly shaping how remote heart-failure management is financed and adopted across systems, not just in well-resourced hospitals.
BIOTRONIK pointed to its own inCareNet HF platform, now supporting more than 12,000 patients in Germany, as one model for scaling digital care while remaining clinically grounded.
AI isn’t just an add-on — it’s reshaping clinical workflow
The strongest through-line of the event was the normalisation of AI across cardiac workflows. What once felt experimental is now embedded across diagnostics, risk stratification and device monitoring.
Stanford’s Dr Marco Perez captured the shift in practice, noting that machine learning and large language models are “opening new frontiers” in diagnosing and managing atrial fibrillation.
“By leveraging these technologies, we can identify patterns earlier, personalise treatment, and ultimately improve patient outcomes on a global scale,” he said.
For clinicians, this isn’t about replacing interpretation but expanding it — spotting subtle patterns that manual review may miss, and triaging risk in ways that free up clinical time.
Other sessions explored how AI-enabled lead monitoring, predictive models for cardiac arrhythmias, and digital patient-engagement platforms could integrate into “continuum-of-care” pathways — a major focus of the afternoon program’s patient empowerment and coronary artery disease discussions.
On the expo floor, the summit’s demo stations offered a preview of what this might look like: unified connected-care platforms, remote device management with home-based programming, and next-generation sensors designed for continuous HF and AF monitoring. Taken together, they suggest a near-term horizon where AI and sensor-driven insights become the backbone of cardiac care, not a parallel layer.
The bottlenecks are familiar — but solvable
For all the optimism around AI and connected cardiac care, the discussion also underscored some well-known structural obstacles. Regulatory fragmentation across Europe, uneven digital reimbursement and slow IT integration continue to limit the pace of adoption. Comments throughout the event suggested that even strong clinical evidence can struggle to translate into practice when incentives or data standards vary between regions.
Even so, the outlook wasn’t downbeat. Examples from Europe, Australia and the US were referenced as potential roadmaps for building national-scale programs — particularly where funding models, interoperable platforms and real-world evidence are more tightly aligned. As BIOTRONIK CTO Dr Andreas Hecker noted, the summit underscored the need for continued innovation in telecardiology, with the ideas shared expected to influence the future direction of digital heart care and support wider eHealth adoption.
A turning point — or the start of another cycle?
Digital cardiology has been through hype cycles before. What feels different in 2025 is that AI is no longer an optional overlay — it is becoming the architecture underlying diagnosis, monitoring and long-term care.
The next two years will show whether health systems can translate that architecture into something sustainable. If they can, cardiology may be the first major specialty to demonstrate what AI-enabled, patient-centred chronic-disease management looks like at scale.