August 29th 2025
Recapping the Heidelberg Engineering International SPECTRALIS Symposium—and Beyond.
AI models offer hope for personalized AMD treatment plans
November 27th 2024In a study, a team of Korean researchers developed an AI model using OCT images to predict neovascular AMD treatment outcomes after anti-VEGF injections. The model highlights AI’s potential in personalized ophthalmic care.
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A study by a team of Chinese researchers highlights the potential of optical coherence tomography angiography (OCTA) in detecting retinal microvascular damage in renal hypertension patients. OCTA identifies reduced vascular density in key retinal regions, offering a noninvasive tool for early diagnosis and systemic disease management.
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Study examines the use of AI–based detection of diabetic retinopathy in the US
November 13th 2024A recent cohort study revealed low adoption of FDA-approved AI-based diabetic retinopathy detection, with less than 5% of diabetic patients receiving ophthalmic imaging. Researchers emphasize the need for improved awareness, cost-effectiveness, and integration to increase diabetic retinopathy screening rates.
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Noninvasive choroidal vessel analysis using deep learning: A novel approach to OCT angiography
November 11th 2024Peking University researchers have developed a deep learning-based, noninvasive choroidal angiography method that enables detailed 3D visualization of choroidal vessels from OCT scans. This technique could improve diagnostics for retinal diseases like macular degeneration, offering a safer alternative to traditional methods.
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ASRS 2024: Diabetic retinopathy lesion types and distribution on ultra-widefield imaging
July 19th 2024Paolo Antonio Silva, MD, discusses his presentation on diabetic retinopathy lesion types and distribution on ultra-widefield imaging and the risk for disease worsening over time at the American Society of Retina Specialists meeting held in Stockholm, Sweden.
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