ThoraxVision
AI-powered web application for detecting pulmonary diseases from chest X-rays using deep learning. YOLO-based detection with 80% accuracy on the NIH dataset.
Timeline
2024-06 — 2024-06
Technologies
Overview
AI-assisted pulmonary diagnosis
ThoraxVision is a deep learning application that assists medical professionals in diagnosing pulmonary diseases from chest X-ray images, combining computer vision with an intuitive clinical web interface.
80%+
Accuracy
NIH test dataset
YOLO
Model
Adapted for medical imaging
Seconds
Diagnosis time
vs. hours manually
NIH
Dataset
Thousands of annotated X-rays
Key Features
- ✓YOLO-based multi-disease detection (pneumonia, tuberculosis, and more)
- ✓Patient data integration for comprehensive diagnosis context
- ✓Flask RESTful API for integration with existing medical systems
- ✓Real-time analysis — results in seconds
- ✓Docker containerisation for portable deployment
- ✓Open-source API for medical research
Impact
Clinical Value
Reduces diagnosis time from hours to seconds. Designed for both standalone local deployment and integration into third-party medical systems via the open-source REST API.
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