CSIRO unveils AI screening tech for early diagnosis of diabetic retinopathy | ZDNET
PDF) Deep Learning for Automated Diabetic Retinopathy Screening Fused With Heterogeneous Data From EHRs Can Lead to Earlier Referral Decisions | Jung-Tzu Liu - Academia.edu
Frontiers | Diabetic Retinopathy Grading by Deep Graph Correlation Network on Retinal Images Without Manual Annotations
Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study - The Lancet Digital Health
Sensors | Free Full-Text | Untangling Computer-Aided Diagnostic System for Screening Diabetic Retinopathy Based on Deep Learning Techniques
J. Imaging | Free Full-Text | Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
![Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-456/1/fig-8-2x.jpg "Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PeerJ]")
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PeerJ]
Early detection of diabetic retinopathy based on deep learning and ultra-wide-field fundus images | Scientific Reports
Frontiers | Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy
Amazon.com: CareSens N Plus Bluetooth Blood Glucose Monitor Kit with 100 Blood Sugar Test Strips, 100 Lancets, 1 Blood Glucose Meter, 1 Lancing Device, Travel Case for Diabetes Testing Kit (Auto-Coding Glucometer
Diagnostics | Free Full-Text | Identification of Diabetic Retinopathy Using Weighted Fusion Deep Learning Based on Dual-Channel Fundus Scans
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique | SpringerLink
![Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-456/1/fig-5-2x.jpg "Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PeerJ]")
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PeerJ]
Clinical validation of an artificial intelligence-based diabetic retinopathy screening tool for a national health system | Eye
Many Type 2 Diabetics Needlessly Test Their Blood Sugar at Home: Study | Everyday Health
Scan-Auto Analyzer for measuring IGT and Insulin Resistance to Detect Very Early Onset of Diabetes, Screening & Prevention of Cardiometabolic Risk - Impeto Medical | Aimil.com
PDF) Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm
Early Diabetes Screening & Detection - JDRF Resources
Continuous Glucose Monitoring - NIDDK
Electronics | Free Full-Text | A Smart Glucose Monitoring System for Diabetic Patient
Artificial intelligence-based screening for diabetic retinopathy at community hospital | Eye
Computer-aided diagnosis - Wikipedia
PDF) Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional Neural Networks and Contrast Limited Adaptive Histogram Equalization
Diabetes Management Technology Update | UMass Diabetes Center of Excellence
