In recent years, Digital Cardiology and AI have emerged as powerful tools in the battle against cardiovascular diseases. These innovations are reshaping the way doctors diagnose and treat heart conditions. AI algorithms applied within digital cardiology systems can analyze complex medical data, such as heart scans and patient histories, to identify patterns and predict the likelihood of future heart problems. With the ability to remotely monitor patients via digital devices, healthcare providers can track heart health in real time, offering faster interventions and more tailored care. The combination of Digital Cardiology and AI is not only enhancing patient management but also paving the way for a more proactive, preventative approach to heart health.
Title : Investigating the long-term follow up of atrial septal device closures in wales and england: A comparative analysis with major adverse cardiovascular Events (MACE)
Meera Gopinath, Cardiff University Medical school, United Kingdom
Title : An adult case of polysplenia syndrome associated with sinus node dysfunction
Apoorva Tripathi, Oxford University Hospitals, United Kingdom
Title : A unique cell-driven phenomenon in the heart and the promising future of the innovative translational tools to manage cardiac self-renewal and regeneration
Sergey Suchkov, N. D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Personalized and precision medicine (PPM) as a unique healthcare model through biodesign-driven translational applications and cardiology-related healthcare marketing to secure the human healthcare and biosafety
Sergey Suchkov, N. D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Yasser’s criterion of inferior ST-segment discrepancy deviations in AF with aberrancy and Sgarbosa criteria - a new cardiovascular discovery and management - a case report
Yasser Mohammed Hassanain Elsayed, Egyptian Ministry of Health, Egypt