AI Applications
Every DeepMathAI application starts as a peer-reviewed publication. We turn our mathematically grounded models into transparent, explainable tools that anyone can use.
Glaucoma Multi-View Screening
AI-powered opportunistic glaucoma screening from retinal fundus images
How It Works
A web-based decision-support system that flags retinal fundus images as "glaucoma suspected" by fusing predictions from two complementary views of the same image — the full fundus photograph and an automatically localized crop around the optic disc. The multi-view ensemble weights the disc-focused view more heavily, mirroring how ophthalmologists examine the optic nerve head, and every prediction can be inspected through Grad-CAM attribution maps.
Models
- EfficientNetV2-M (full image)
- EfficientNetV2-S (optic-disc crop)
- Weighted multi-view ensemble
Key Features
Single & Batch Prediction
Screen one image or an entire folder of fundus photographs (JPG, PNG, BMP, TIF) in a single run.
Multi-View Fusion
Combines a full-image EfficientNetV2-M and a disc-crop EfficientNetV2-S with weighted probability fusion (Original × 0.5 + Crop × 1.5).
Explainable AI (Grad-CAM)
Heatmaps reveal the retinal regions driving each prediction, supporting clinical trust and error analysis.
Performance Dashboard
Built-in metrics page reporting the model's validated screening performance.
Published Research
Multi-view machine learning with an optic disc localization for glaucoma diagnosis
Siying, P., et al. & Wangkeeree, R. — Applied Sciences (MDPI), Vol. 16, Issue 7, 3158 (2026)
Important limitation: Decision-support tool for screening only — not a medical diagnosis and not a substitute for examination by an ophthalmologist.
More Applications in Development
Upcoming tools from our research pipeline include opportunistic osteoporosis assessment from lumbar spine MRI, diabetic retinopathy screening, and renewable-energy optimization systems. Follow our publications to see what's next.
Research You Can Actually Use
Interested in collaborating on deployable, explainable AI for healthcare or energy? DeepMathAI welcomes research partnerships and pilot deployments.