Integrating Artificial Intelligence Into Digital Health-Optimized Therapeutics for the Remote Cardiac Rehabilitation.

Area of Science:

• Cardiology and Digital Health

Background:

• Cardiovascular diseases (CVDs) are a major global health concern with high mortality.
• Traditional center-based cardiac rehabilitation (CR) faces challenges in accessibility and patient adherence.
• Digital health technologies (DHTs), particularly wearables, offer a solution for home-based, remote CR.

Purpose of the Study:

• To review the applications of AI and wearables in remote CR.
• To evaluate the collective role of these technologies in patient CR execution.
• To highlight advancements in AI-driven digital CR.

Main Methods:

• Review of current literature on AI, wearables, and remote CR.
• Analysis of how AI algorithms interpret data from DHTs.
• Evaluation of AI's potential in telemonitoring, risk prediction, and personalized exercise.

Main Results:

• DHTs combined with AI significantly enhance CR efficiency and patient adherence.
• AI enables real-time fitness telemonitoring and accurate risk recognition.
• Personalized exercise recommendations and improved adherence are key benefits.

Conclusions:

• AI and wearables are crucial for the advancement of home-based remote CR.
• Further integration of AI into DHTs can refine digital CR strategies.
• Future research should focus on optimizing AI applications in new-era digital CR.