| Product Information |
OcuScreen is a software product autonomously analyzing fundus camera photos, using machine learning algorithms (neuronets) and computer vision for grading retina images and fast search of abnormalities. It demonstrates high accuracy in detection of DPR and other abnormalities (glaucoma, AMD, BRVO, CRVO, etc.) The solution comprises an AI engine + basic EHR system. It сan be used as a software feature for ophthalmology diagnostic equipment. This feature may be easily integrated into a device circuit and may become a great competitive advantage.
Benefits:
• Reduces time for seeing a patient and making a diagnosis
• Frees the time of highly-qualifies medical staff for treating patients
• Reduces insurance expenses
• Makes DPR screening easy accessible for patients
• Excludes human error
The solution can be used by:
- Clinics / hospitals comprising an ophthalmology department
- Optometrist’s offices
- Primary care units
- Private medical labs
- Eye disease / diabetes diagnostic equipment manufacturers
The neural network was trained on 120,000+ images to achieve outstanding accuracy:
• Specificity: 91%
• Accuracy: 96.5%
• Response time for diagnosis: 3.5 seconds |
