New Way to Find Diabetic Eye Disease Faster
AI-Powered Detection: Artificial intelligence can analyze retinal scans to detect diabetic retinopathy quickly and accurately.
OCT Imaging: Optical Coherence Tomography provides detailed retina images to detect diabetic macular edema and retinopathy.
Retinal Photography: Digital retinal photography helps document retina health and detect diabetic retinopathy.
Machine Learning Algorithms: Advanced algorithms can identify diabetic retinopathy patterns in retinal images.
Automated Screening: Automated screening tools can quickly identify patients with diabetic retinopathy.
Non-Invasive Techniques: New non-invasive methods, like OCT angiography, detect diabetic retinopathy without injections.
Early Detection: Regular screenings and early detection can prevent vision loss from diabetic retinopathy.
Telemedicine: Remote retinal screenings enable wider access to diabetic eye disease detection.
Deep Learning Models: Deep learning models can detect diabetic retinopathy with high accuracy.
Advanced Imaging: Advanced imaging techniques, like adaptive optics, enhance retina visualization and disease detection
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