DiagnoVision

Revolutionizing Medical Imaging with AI

Medical imaging diagnosis tends to be time-consuming, inconsistent, and subject to specialist availability—resulting in potential delays and errors in patient management. DiagnoVision offers solutions to these problems in the form of intelligent automation that optimizes clinical workflows and diagnostic accuracy.

Key Features & Benefits:

Real-Time Fracture Detection Leverages object detection models to detect fractures in X-rays in real-time, enabling speedy triage and treatment decisions. Personalized Diagnostic Reporting Integrates with patient history to create context-aware medical reports that support well-rounded care planning. Clinical Efficiency Boost Decreases diagnostic workloads, improves throughput, and assists clinicians with AI-supported decision-making.

Technology Stack Behind DiagnoVision

• TensorFlow / YOLO – Deep learning models for medical image classification and object detection.
• Python + FastAPI – Backend for seamless, real-time data handling and API deployment.
• OpenCV – For image preprocessing and enhancement to improve model accuracy.
• Docker – Ensures secure, scalable, and portable deployment across clinical infrastructures.