E-Cardiac Care: A Comprehensive Systematic Literature Review

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Internet of Things in Medicine

Background:

• Traditional healthcare systems face challenges like long wait times, high costs, and accessibility issues.
• Smart healthcare systems, leveraging IoT and AI, present tailored solutions to these systemic flaws.
• The study focuses on the application of IoT and AI in improving cardiac healthcare services.

Approach:

• A systematic analysis of 104 scholarly articles was conducted.
• Research questions focused on the impact of IoT, AI, communication technologies, sensor networks, and disease detection in cardiac care.
• The review synthesized findings on E-Cardiology advancements.

Key Points:

• Deep learning, integrated with IoT, shows significant promise for E-Cardiac care.
• Enhanced accuracy and real-time clinical monitoring are key benefits of these integrated technologies.
• The study identifies critical benefits and challenges associated with IoT and AI in E-Cardiology.

Conclusions:

• IoT and AI integration significantly enhances cardiac healthcare delivery.
• Deep learning combined with IoT offers improved accuracy and real-time monitoring for cardiac conditions.
• Future research should address identified gaps in E-Cardiology, cardiac parameter monitoring, and diagnosis patterns.