This project is an enhanced medical imaging and diagnostic assistant that uses HealthGPT models to improve low-resolution medical images, convert between imaging modalities, and generate diagnostic reports.

• Image Enhancement: Improve the resolution and clarity of low-quality medical images
• Modality Conversion: Convert between CT and MRI scans
• Diagnostic Report Generation: Analyze medical images and provide detailed diagnostic reports

• Python 3.10+
• Node.js 16+
• CUDA-compatible GPU (recommended for faster processing)

1. Clone the repository:

   git clone https://github.com/yourusername/HealthGPT-main.git
   cd HealthGPT-main

2. Create and activate a Python virtual environment:

   conda create -n HealthGPT python=3.10
   conda activate HealthGPT

3. Install the required Python packages:

   pip install -r requirements.txt

4. Download the required model weights:

   cd weights
   python download_weights.py

1. Navigate to the frontend directory:

   cd frontend

2. Install the required Node.js packages:

   npm install

1. Start the backend server:

   python app.py

1. In a separate terminal, navigate to the frontend directory:

   cd frontend

2. Start the Next.js development server:

   npm run dev

3. Open your browser and navigate to http://localhost:3000

1. Select a task type (Image Enhancement, CT to MRI Conversion, MRI to CT Conversion, or Generate Diagnosis)
2. Upload a medical image
3. Click "Process Image" to start the processing
4. View the results in the output section

The application provides the following API endpoints:

• POST /api/process-scan: Process a medical image based on the selected task type
  • Request body:
    • scan: The medical image file
    • taskType: The type of task to perform (enhance, ct2mri, mri2ct, or diagnosis)
  • Response:
    • result: The processed image (as base64) or diagnostic text

This project uses the following HealthGPT models:

• HealthGPT-XL32: For image enhancement, modality conversion, and diagnostic report generation
• HealthGPT-M3: For image generation tasks

This project is licensed under the MIT License - see the LICENSE file for details.

• HealthGPT for providing the pre-trained models
• Next.js for the frontend framework
• Tailwind CSS for styling