Mobilizing artificial intelligence to cardiac telerehabilitation

Area of Science:

• Cardiology
• Digital Health
• Artificial Intelligence

Background:

• Cardiac telerehabilitation utilizes digital technologies to provide remote cardiac rehabilitation.
• It demonstrably improves patient outcomes, quality of life, and reduces adverse cardiac events.
• The COVID-19 pandemic accelerated the adoption of cardiac telerehabilitation, highlighting existing challenges.

Purpose of the Study:

• To review the current applications of artificial intelligence (AI) in cardiac telerehabilitation.
• To identify the limitations and challenges of AI integration in this field.
• To explore future prospects for AI in enhancing cardiac telerehabilitation.

Main Methods:

• Literature review of artificial intelligence applications in cardiac telerehabilitation.
• Analysis of AI's role in data mining and interpretation within remote cardiac care.
• Evaluation of current AI tools and their effectiveness.

Main Results:

• AI demonstrates potential in analyzing large datasets for personalized cardiac telerehabilitation.
• Current AI applications face limitations in integration, data standardization, and clinical validation.
• AI can assist in monitoring patient progress and predicting adverse events.

Conclusions:

• Artificial intelligence holds significant promise for advancing cardiac telerehabilitation.
• Addressing current limitations is crucial for widespread and effective AI implementation.
• Further research and innovation are needed to optimize AI's role in remote cardiac care.