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Heart, Eye, and Artificial Intelligence: A Review

Kush Gupta1, Sarath Reddy2

  • 1Kasturba Medical College, Mangalore, India.

Cardiology Research
|May 28, 2021
PubMed

Insights

Artificial intelligence (AI) and retinal scans offer a novel approach to detecting heart disease by analyzing eye images for cardiovascular indicators. This review explores using AI with retinal imaging to predict heart conditions non-invasively.

Area of Science:

  • Ophthalmology
  • Cardiology
  • Artificial Intelligence

Background:

  • Heart disease remains a leading cause of mortality in the USA.
  • Deep learning (AI) is increasingly applied to cardiovascular disease research.
  • Retinal scanning is established for diagnosing various eye conditions.

Purpose of the Study:

  • To review the current applications of retinal imaging combined with AI for diagnosing cardiovascular issues.
  • To explore the potential of non-invasive retinal analysis for predicting macrovascular changes.
  • To summarize the integration of AI and retinal imaging for disease detection.

Main Methods:

  • Review of existing literature on AI and retinal imaging in cardiovascular research.
  • Analysis of studies utilizing fundus photographs and OCTA for disease diagnosis.
  • Synthesis of findings on correlating microvascular features with cardiac health.

Main Results:

  • AI-powered retinal analysis shows promise in detecting cardiovascular disease indicators.
  • Non-invasive retinal imaging can potentially predict macrovascular changes.
  • The combination of AI and retinal scans offers a new diagnostic avenue.

Conclusions:

  • Retinal imaging, enhanced by AI, presents a non-invasive method for cardiovascular assessment.
  • Further research is needed to fully establish AI-driven retinal analysis for heart disease prediction.
  • This approach could revolutionize early detection and monitoring of heart conditions.

Keywords:
Cardiovascular diseaseDeep learningRetinal imaging

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