Diabetic Retinopathy
Understanding Diabetic Retinopathy
Diabetic retinopathy (DR) is a serious complication of diabetes caused by prolonged high blood sugar damaging the retina’s small blood vessels. This damage can lead to fluid leakage, swelling, and impaired vision—particularly affecting the macula. If left untreated, DR can cause significant vision loss or blindness.
Globally, 22.27% of people with diabetes develop DR, with 6.17% experiencing vision- threatening DR (VTDR). In India, the prevalence is estimated at 12.5% for DR and 4% for VTDR. These figures highlight the urgent need for early detection and intervention.
Challenges in Early Detection
In its early stages, diabetic retinopathy often shows no visible symptoms, leading many patients to delay or skip routine eye exams. This delay allows the disease to progress to advanced stages, where treatment is less effective.
The challenge is even greater in low- and middle-income countries, where
- Access to retinal specialists is limited.
- Awareness of the need for regular screenings is low.
- Healthcare resources for preventive care are scarce.
- Without timely detection, millions remain at risk of irreversible vision loss.
Challenges in Early Detection
In its early stages, diabetic retinopathy often shows no visible symptoms, leading many patients to delay or skip routine eye exams. This delay allows the disease to progress to advanced stages, where treatment is less effective.
The challenge is even greater in low- and middle-income countries, where
- Access to retinal specialists is limited.
- Awareness of the need for regular screenings is low.
- Healthcare resources for preventive care are scarce.
- Without timely detection, millions remain at risk of irreversible vision loss.
Transforming Diabetic Retinopathy Detection with FH-POISE
Our FH-POISE platform provides integrated insights for the detection of diabetic retinopathy. Through advanced imaging technology and deep-learning models, our solution identifies subtle retinal changes that may go unnoticed through conventional methods.
How FH-POISE Works
Image Analysis with Integrated Insights
Analyzes key retinal features - blood vessel changes, hemorrhages, and exudates - providing a detailed, automated assessment.
Heatmap Visualizations
Offers clear, actionable insights by highlighting areas of concern, guiding clinicians toward precise diagnosis and intervention.
Early and Accurate Detection
Identifies signs of DR in its earliest stages, enabling proactive treatment and reducing the risk of severe vision loss.
FH-POISE leverages advanced deep-learning models to detect Diabetic Retinopathy early and support personalized patient management, enabling healthcare providers to improve outcomes efficiently.
References and External Links
- Diabetic retinopathy
https://www.aoa.org/healthy-eyes/eye-and-vision-conditions/diabetic-retinopathy?sso=y - Diabetic retinopathy
https://www.nhsinform.scot/illnesses-and-conditions/diabetes/diabetic-retinopathy/ - Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045: Systematic Review and Meta-analysis
https://pubmed.ncbi.nlm.nih.gov/33940045/ - Prevalence of diabetic retinopathy in India stratified by known and undiagnosed diabetes, urban–rural locations, and socioeconomic indices: results from the SMART India population-based cross-sectional screening study
https://www.nejm.org/doi/full/10.1056/NEJM199111143252005 - Early detection of diabetic retinopathy based on deep learning and ultra-wide-field fundus images
https://www.nature.com/articles/s41598-021-81539-3 - Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach
https://www.mdpi.com/2673-2688/5/4/125
