[Artificial intelligence in cardiology: the new HAL 9000?]

Area of Science:

• Cardiology
• Medical Informatics
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is revolutionizing medicine, particularly in cardiology.
• AI provides tools for diagnosis, risk stratification, interventional planning, and personalized patient care.
• Current applications include automated ECG and imaging interpretation, predictive modeling, and interventional workflow integration.

Purpose of the Study:

• To review the potential and limitations of AI in cardiovascular medicine.
• To explore emerging AI technologies and their clinical implications.
• To discuss the role of generative AI tools like ChatGPT in scientific research.

Main Methods:

• Literature review of AI applications in cardiology.
• Analysis of emerging AI technologies and their impact.
• Discussion of ethical, legal, and regulatory challenges.

Main Results:

• AI is a powerful ally in cardiology, enhancing diagnostic accuracy and treatment planning.
• Generative AI tools show promise in scientific research within cardiology.
• Significant ethical, legal, and regulatory hurdles must be addressed for widespread AI adoption.

Conclusions:

• AI has transformative potential in cardiology, but requires transparency and independent validation.
• Multidisciplinary governance is essential for responsible AI implementation.
• The future of cardiology is digital yet must remain fundamentally human-centered.