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AI for Ophthalmology
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== <span style="color: #FFFFFF;">Remembering</span> == * '''Diabetic retinopathy (DR)''' β Damage to retinal blood vessels from diabetes; leading cause of blindness in working-age adults; highly amenable to AI screening. * '''Glaucoma''' β Optic nerve damage causing visual field loss; detected by AI from optic disc analysis and OCT nerve fiber layer thickness. * '''Age-related macular degeneration (AMD)''' β Degeneration of the macula (central retina); leading cause of blindness in elderly; AI detects and grades severity. * '''Fundus photograph''' β Non-invasive color photo of the retina; primary modality for DR and AMD screening. * '''OCT (Optical Coherence Tomography)''' β High-resolution cross-sectional imaging of retinal layers; essential for AMD and glaucoma assessment. * '''International Clinical DR scale''' β Standardized severity grading (0β4) for DR; AI automates this grading. * '''IDx-DR''' β First FDA-authorized AI diagnostic device (2018); autonomously detects more-than-mild DR from fundus photos. * '''Google DeepMind (retinal AI)''' β Foundational 2016 paper demonstrating AI matching ophthalmologist DR grading accuracy. * '''Diabetic macular edema (DME)''' β Fluid accumulation in the macula from diabetic retinopathy; key finding requiring treatment. * '''VEGF (Vascular Endothelial Growth Factor)''' β Target of anti-VEGF injections for AMD and DME; AI predicts treatment response. * '''Optic disc''' β The point where the optic nerve enters the retina; key feature for glaucoma assessment. * '''Cup-to-disc ratio (CDR)''' β Ratio of optic cup to optic disc diameter; elevated CDR is a glaucoma risk indicator. * '''Choroidal thickness''' β Measured by OCT; biomarker for multiple retinal diseases. * '''EyePACS''' β A large-scale retinal image dataset used to train DR screening AI; >1M images. </div> <div style="background-color: #006400; color: #FFFFFF; padding: 20px; border-radius: 8px; margin-bottom: 15px;">
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