53 Results Found for “Artificial intelligence”
Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality worldwide.1 High systolic blood pressure (SBP) remains one of the top risk factors for CVD burden globally.2 Despite being a modifiable risk factor, hypertension (HTN) remains largely undiagnosed and ...
Large language models, wearables and mobile health technologies are increasingly being explored across cardiovascular research and clinical care. At ESC Congress 2026, Dr Jazmin Aguado-Sierra discussed where these tools could add value, and where questions around reliability remain.
Dr Jazmin Aguado-Sierra discusses how computational models and digital twins are helping researchers understand different heart failure phenotypes, and how artificial intelligence can accelerate analysis and support more personalized approaches.
Late-breaking clinical research will once again be a major focus at ESC Congress 2026, taking place in Munich, Germany, from August 28–31. This year, a record 59 trials have been selected for presentation across 12 Hot Line sessions, spanning new pharmacological approaches, diagnostic strategies, devices, imaging and digital technologies.
At EHRA 2026, Professor Claudio Tondo presents his highlights on advances in ablation and device technologies, led by pulsed field ablation, showcasing a rapidly evolving landscape in the treatment of complex arrhythmias.
Professor Amir Jadidi presented results from SOLVE-AF at EHRA 2026, showing that sinus rhythm–guided substrate ablation significantly improves outcomes in persistent AF patients with atrial fibrosis and supporting a more personalized ablation strategy.
Sudden cardiac arrest (SCA) in young adults (typically defined as individuals younger than 40 years) has emerged as an important yet under-recognized public health concern. Recent estimates suggest an incidence of approximately 1–4 cases per 100,000 person-years, underscoring the clinical and epidemiological relevance ...
At EHRA 2026, new research presented by Professor Elaine Chew explores how music-based digital tools can enhance arrhythmia detection and enable personalized, AI-driven approaches to cardiovascular diagnosis and therapy.
At EHRA 2026, Ben Petrazzini discussed new research that shows AI can improve identification of sudden cardiac death in electronic health records, enabling more accurate large-scale studies and advancing prevention strategies.
At ACC26, William Fearon and Ajay Kirtane presented a large randomized trial, showing angiography-derived coronary physiology is noninferior to pressure wire–guided PCI, with added procedural efficiency and potential to expand physiologic assessment in routine practice.
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