Artificial Intelligence and Digital Innovation in Cardiovascular Medicine

Area of Science:

• Cardiovascular Medicine
• Digital Health
• Data Science

Background:

• Digital innovation and data science are revolutionizing cardiovascular medicine.
• Artificial intelligence (AI), machine learning (ML), and digital health tools are transitioning into clinical practice.
• Asian populations face a high burden of cardiovascular disease and unique healthcare challenges.

Purpose of the Study:

• To provide a comprehensive overview of digital innovations in cardiovascular medicine.
• To focus on applications and challenges within Asian populations.
• To outline the pathway toward equitable, scalable, and sustainable precision cardiology.

Main Methods:

• Review of developments across the cardiovascular care continuum.
• Highlighting large-scale cohort studies and risk prediction algorithms.
• Examining multimodal AI models, wearable devices, and assistive clinical tools.

Main Results:

• AI and digital tools are increasingly used in prevention, diagnosis, treatment, and follow-up.
• Large-scale studies and advanced algorithms are key drivers of progress.
• Wearable devices and assistive tools enhance patient care and clinical workflows.

Conclusions:

• Digital innovations offer significant potential for advancing precision cardiology.
• Addressing barriers like data quality, infrastructure, and regulations is crucial for implementation.
• Achieving equitable, scalable, and sustainable precision cardiology requires integrating research and clinical practice.