Today we hosted a workshop on Lirot.ai for retinal images analysis using artificial intelligence with the participation of three leading Israeli medical centers, Rambam HCC, Hillel Yaffe and Shaare Zedek.
Great vibe, enthusiasms and ideations on how AI is and will be transforming the field of ophthalmology!
What is Lirot.ai?
Lirot.ai is a scholarly resource developed by the AIMLab. and committed to making AI-driven analysis of ophthalmology images widely available, simplifying the integration of AI in the study of ophthalmology and promoting equitable access to AI technology in the field for research and educational purposes.
Digital fundus images (DFI) are specialized photographs of the interior surface of the eye, capturing detailed views of the retina, including blood vessels, the optic disc, and the macula. They are invaluable tools in ophthalmology and optometry for diagnosing and monitoring various ocular diseases, including diabetic retinopathy, glaucoma, degeneration and macular. Project page: https://www.aimlab-technion.com/lirot-ai
What is the relation between retinal scans and cardiovascular health?
The fundus image allows for the visualization of numerous vascular features, notably the arterioles (small arteries) and venules (small veins). Advanced image processing and machine learning techniques now enable the extraction of arterioles and venules from fundus images, a process known as A/V segmentation. By isolating these vessels, we can examine their morphology and distribution in greater detail, revealing subtle changes that might otherwise go unnoticed.
From this A/V segmentation, we can compute vasculature biomarkers, which are quantifiable indicators of biological states or conditions. By analyzing these vasculature biomarkers, healthcare professionals can gain deeper insights into a patient’s ocular health and potentially detect early signs of disease. This approach represents a promising frontier in eye care, allowing for more proactive and personalized treatment strategies.
Does Lirot.ai has other features?
beyond the two modules dedicated to vasculature digital biomarkers extraction Lirot.ai implement a module for diabetic retinopathy staging from fundus images. More modules are planed for release in Q1 2025. To keep yourself posted, follow us on LinkedIn @AIMLab
Project page: https://www.aimlab-technion.com/lirot-ai
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