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title: MediQuery | |
emoji: π©Ί | |
colorFrom: blue | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 3.36.1 | |
app_file: app.py | |
pinned: false | |
# MediQuery - AI Multimodal Medical Assistant | |
MediQuery is an AI-powered medical assistant that analyzes chest X-rays and answers medical queries using advanced deep learning models. | |
## Features | |
- **X-ray Analysis**: Upload a chest X-ray image for AI-powered analysis | |
- **Medical Query**: Ask questions about medical conditions, findings, and interpretations | |
- **Visual Explanations**: View attention maps highlighting important areas in X-rays | |
- **Comprehensive Reports**: Get detailed findings and impressions in structured format | |
## How to Use | |
### Image Analysis | |
1. Upload a chest X-ray image | |
2. Click "Analyze X-ray" | |
3. View the analysis results and attention map | |
### Text Query | |
1. Enter your medical question | |
2. Click "Submit Query" | |
3. Read the AI-generated response | |
## API Documentation | |
This Space also provides a REST API for integration with other applications: | |
- `POST /api/query`: Process a text query | |
- `POST /api/analyze-image`: Analyze an X-ray image | |
- `GET /api/health`: Check API health | |
## About | |
MediQuery combines state-of-the-art image models (DenseNet/CheXNet) with medical language models (BioBERT) and a fine-tuned FLAN-T5 generator to provide accurate and informative medical assistance. | |
Created by Tanishk Soni | |
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tags: [healthcare, medical, xray, radiology, multimodal] | |