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Overview of the Heart

Overview of the Heart

The heart, a muscular organ located in the chest, functions as the body's pump, circulating blood through the vascular system. It has four chambers: two atria on top and two ventricles below. The right atrium receives deoxygenated blood from the body and passes it to the right ventricle, which pumps it to the lungs for oxygenation. The left atrium receives oxygenated blood from the lungs and transfers it to the left ventricle, which pumps it to the rest of the body.
The heart's structure...

Anatomy of the Heart

Anatomy of the Heart

The human heart is made up of three layers of tissue that are surrounded by the pericardium, a membrane that protects and confines the heart. The outermost layer, closest to the pericardium, is the epicardium. The pericardial cavity separates the pericardium from the epicardium. Beneath the epicardium is the myocardium, the middle layer, and the endocardium, the innermost layer. There are four chambers of the heart: the right atrium, the right ventricle, the left atrium, and the left ventricle.

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Related Experiment Video

Updated: Nov 4, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

Heart, Eye, and Artificial Intelligence: A Review.

Kush Gupta¹, Sarath Reddy²

¹Kasturba Medical College, Mangalore, India.

Cardiology Research

|May 28, 2021

Summary

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.

Keywords:

Cardiovascular disease Deep learning Retinal imaging

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Last Updated: Nov 4, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts

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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

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Published on: December 15, 2023

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.