Scientific Sessions

Digital cardiology and artificial intelligence (AI) are transforming cardiovascular care by leveraging technology to enhance diagnosis, treatment, and patient management. AI algorithms, including machine learning and deep learning, can analyze vast amounts of clinical, imaging, and genomic data to identify patterns and predict cardiovascular risk with remarkable accuracy. Wearable devices, remote monitoring tools, and mobile health applications allow continuous tracking of heart rate, blood pressure, rhythm abnormalities, and physical activity, enabling real-time patient monitoring and early detection of complications. These technologies support personalized medicine, guiding clinicians in optimizing therapy and preventing adverse events.

In clinical practice, AI assists in interpreting complex imaging studies such as echocardiography, cardiac MRI, and CT angiography, improving diagnostic speed and precision. Predictive analytics and decision-support systems help stratify patients based on risk, guide intervention strategies, and forecast outcomes for heart failure, arrhythmias, and coronary artery disease. Furthermore, digital platforms facilitate telemedicine, virtual cardiac rehabilitation, and patient education, enhancing access to care and engagement. Emerging applications in genomics, natural language processing, and robotic-assisted procedures continue to expand the capabilities of digital cardiology. By integrating AI with clinical expertise, healthcare systems can deliver more efficient, accurate, and patient-centered cardiovascular care.