BeCured Support

Early Disease Diagnosis Support • Nov 2023

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HealthcareDLInterpretability
An AI-powered diagnostic support system framing model outputs as decision-support signals on medical imaging datasets.

BeCured is designed as an assistant, not a replacement, for medical professionals. It focuses on the early detection of Diabetic Retinopathy, where timing is critical for vision preservation.

Responsible AI

Unlike "black box" diagnostic tools, BeCured incorporates interpretability layers (Grad-CAM) that highlight the specific regions of a retinal scan that triggered a high-risk classification. This allows doctors to verify the AI's reasoning.

Performance

The underlying Deep Learning models are trained on large-scale medical imaging datasets, achieving high sensitivity to early-stage microaneurysms that are often difficult to detect manually.

Deployment

The tool is packaged as a high-performance API using FastAPI, ensuring it can be integrated into existing hospital management systems with minimal friction.

Core Capabilities

Retinal image analysis (Diabetic Retinopathy)

Explainable AI interpretability layers

Automated decision-support alerts

High-fidelity diagnostic reporting

Technical Stack

Python
TensorFlow
CNNs
Medical Imaging
Grad-CAM

Deployment

Production Ready

Architecture

Microservices / Edge