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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 | |
| --- | |
| tags: [healthcare, medical, xray, radiology, multimodal] | |