Digital Cardiology and AI

Digital Cardiology and AI

  • Wearable Technology in Cardiac Monitoring
  • Machine Learning for Early Cardiac Risk Prediction
  • AI in Cardiovascular Imaging
  • Big Data Analytics in Cardiology
  • Telemedicine and Remote Cardiac Care
  • Cybersecurity and Data Privacy in Digital Cardiology
  • AI in Drug Discovery
     

Digital cardiology, powered by artificial intelligence (AI), is revolutionizing cardiovascular care by enhancing diagnostics, personalizing treatments, and improving patient monitoring. Wearable devices, such as smartwatches and fitness trackers, play a significant role by continuously tracking heart rate, rhythm, and activity levels, enabling individuals to monitor their cardiovascular health in real time. These devices provide valuable data that can help detect early signs of heart issues, allowing for proactive management. AI is transforming the analysis of cardiovascular data. Algorithms analyze vast datasets from electrocardiograms (ECGs), echocardiograms, and cardiac imaging to identify arrhythmias, predict heart failure decompensation, and uncover subtle patterns that may be missed by human clinicians. AI-driven tools assist in diagnosing conditions more quickly and accurately, which enhances decision-making and treatment outcomes. These technologies are also aiding in the development of predictive models to assess individual risk profiles, allowing for more tailored and effective treatment plans. Telemedicine platforms are another key advancement, enabling remote consultations and continuous care management, which is especially beneficial in underserved or rural areas where access to healthcare professionals may be limited. These platforms allow patients to receive care without needing to travel, making cardiovascular monitoring and follow-up more convenient and accessible. As digital cardiology continues to evolve, it promises to enhance early detection, improve treatment precision, and empower patients to take an active role in managing their cardiovascular health. With these technological advancements, the future of heart care looks increasingly connected, data-driven, and patient-centered.

Related Sessions:

Committee Members

Professor
Lu Cai

University of Louisville School of Medicine, United States

Professor
Terry McCormack

Hull York Medical School, United Kingdom

Consultant Cardiologist
Abdul Majeed Salmasi

London Northwest University Healthcare NHS Trust, United Kingdom

Professor
Bernd Blobel

University of Regensburg, Germany

CVS 2026 Speakers

Professor
Emre Yalcinkaya

University of Health Sciences, Turkey

Professor
Guo Wei He

Tianjin University, China

Professor
Gausal Azam Khan

King Faisal University, Saudi Arabia

Researcher
Hai Tao Hou

Tianjin University, China

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