An AI-Powered Radiology Intelligence Platform for Chest X-ray Diagnosis and Clinical Decision Support
Medical imaging lies at the core of modern clinical decision-making, yet radiology departments worldwide face increasing workloads, reporting delays, and diagnostic fatigue. Chest X-rays (CXR), one of the most frequently performed imaging studies, require rapid and accurate interpretation to guide timely patient management.
KurdRay was developed to address this challenge by combining state-of-the-art deep learning with an interactive clinical AI agent, creating an end-to-end intelligent radiology assistant. Rather than replacing clinicians, KurdRay acts as a second reader and clinical companion, enhancing accuracy, speed, and decision confidence.
How the KurdRay Model Works
At the core of KurdRay is a multi-label deep learning model designed to analyze chest X-ray images and detect abnormalities with high precision.
Model Architecture
Built using DenseNet121, a proven architecture for medical image analysis
Optimized for multi-disease classification, allowing detection of multiple abnormalities in a single image
Trained to recognize 14 clinically significant chest X-ray findings
To further improve performance and robustness, the system employs an ensemble approach, combining predictions from two independently trained advanced models. This ensemble strategy reduces variance, improves generalization, and delivers more stable predictions across diverse image conditions.
Training Strategy
Phase 1 Training
Trained on 100,000+ chest X-ray images
Curated from large, well-established medical imaging datasets
Extensive preprocessing, normalization, and augmentation applied
Advanced Training Techniques
Class imbalance handling to improve rare disease detection
Optimized loss functions for multi-label classification
Rigorous validation and benchmarking
This approach enabled KurdRay to reach a state-of-the-art AUC of approximately 0.87, comparable to leading international AI systems in chest radiography.
Instant, Real-Time Chest X-ray Analysis
One of KurdRay's defining strengths is speed.
Upload a chest X-ray
Receive results instantly
No waiting time, no processing delays
The system is optimized for real-time inference, making it suitable for emergency departments, outpatient clinics, and high-volume radiology workflows.
Detected Chest X-ray Abnormalities
Kurdray currently detects 14 major chest X-ray abnormalities, including but not limited to:
Pneumonia, Cardiomegaly, Pleural Thickening, Atelectasis, Pulmonary edema, Fibrosis, Pneumothorax, Infiltration, Mass, Nodule, Hernia, Emphysema, Consolidation, Effusion.
The model supports multi-label detection, meaning multiple abnormalities can be identified in the same image when present.
Phase 2: Scaling Toward Clinical Excellence
KurdRay is actively evolving.
Ongoing Phase 2 Training
Expansion to 400,000+ chest X-ray images
Inclusion of broader patient demographics
Increased scanner and acquisition variability
Improved rare pathology representation
This phase aims to:
Further increase diagnostic accuracy
Improve robustness across institutions
Push performance beyond current benchmarks toward next-generation clinical AI
Beyond Diagnosis: The KurdRay Clinical AI Agent
KurdRay integrates a conversational AI agent, inspired by modern clinical reasoning systems, and seamlessly connected to the diagnostic engine.
How the Agent Works
After an abnormality is detected:
The diagnosis is displayed to the user
A dedicated option allows users to chat with the AI agent
The agent understands the imaging findings and clinical context
What You Can Ask the Agent
- Explanation of the detected abnormality
-Patient preparation steps
-Recommended next investigations
-Initial management and treatment considerations
-Differential diagnoses
-Follow-up and monitoring advice
This transforms KurdRay from a diagnostic tool into a clinical decision support assistant, bridging imaging findings with real-world medical workflows.
Web-Based, User-Centered Design
KurdRay is delivered as a modern web-based application:
Simple and intuitive interface
Upload X-ray → get diagnosis → interact with AI agent
Designed for use on desktops, tablets, and clinical workstations
Ready for integration into existing hospital systems
Safety, Responsibility, and Clinical Role
KurdRay is designed with patient safety at its core:
AI outputs are assistive, not definitive diagnoses
Final clinical decisions remain with qualified healthcare professionals
The system supports, not replaces, medical expertise
