CORDIS Project
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This project develops an artificial intelligence tool to automate the analysis of heart ultrasound images, improving accessibility and accuracy. By using deep learning, it classifies images and detects heart cycle phases, allowing for faster diagnoses and better patient management in healthcare settings.
Heart ultrasound is the most versatile, most widely used, and cost-effective heart imaging method.
Accessibility to ultrasound imaging is growing rapidly as the devices are getting cheaper and smaller.
However, interpretation of the acquired images creates a bottleneck; it requires substantial skill, it is long, manual, and prone to errors and variability.
Ligence is remodelling the quality, difficulty, and length of echocardiography with an AI-driven tool to automate the whole analysis o…
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