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December 4, 2025International Journal of Advanced Computer Science and ApplicationsOpen Access

AI-Driven Multimodal Frameworks for Cardiovascular Diagnostics: Integrating Sensors, Imaging, and Robotic Systems

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Authors

CTChandrasekhara Reddy TRPRamesh Babu P.

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Overview

This review highlights how AI integration improves diagnostic accuracy in cardiovascular care, suggesting areas for future research.

Key Points

  • Personalization improves diagnostic accuracy, leveraging artificial intelligence and machine learning.
  • Smart immune sensors and wearable sensors enhance disease diagnosis through blood and urine samples.
  • Assessment of emerging technologies emphasizes the need for validation tests and ethical considerations.
  • Framework aims to improve clinical quality and energy efficiency, highlighting inter-disciplinary collaboration.

Cite This Study

T et al. (2025) studied this question.

synapsesocial.com/papers/6930e8c6ea1aef094cca33d1https://doi.org/10.14569/ijacsa.2025.0161146
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