https://github.com/sarathir-dev/organ-insight
OrganInsight is a web-based application that leverages AI to classify 3D medical images using a pre-trained PyTorch model. Built with React and Python, it provides interactive visualization and generates plain-language descriptions via ChatGPT, making medical imaging more accessible and understandable.
https://github.com/sarathir-dev/organ-insight
ai computer-vision deep-learning healthcare machine-learning medical-imaging python pytorch react
Last synced: 3 months ago
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OrganInsight is a web-based application that leverages AI to classify 3D medical images using a pre-trained PyTorch model. Built with React and Python, it provides interactive visualization and generates plain-language descriptions via ChatGPT, making medical imaging more accessible and understandable.
- Host: GitHub
- URL: https://github.com/sarathir-dev/organ-insight
- Owner: sarathir-dev
- Created: 2025-03-02T15:27:19.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-06T16:03:28.000Z (3 months ago)
- Last Synced: 2025-03-06T16:35:23.353Z (3 months ago)
- Topics: ai, computer-vision, deep-learning, healthcare, machine-learning, medical-imaging, python, pytorch, react
- Language: TypeScript
- Homepage:
- Size: 4.42 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# OrganInsight
## Unveiling the Depths of Medical Imaging with AI
### Overview
OrganInsight is a web-based application designed to enhance the accessibility and interpretability of **3D medical imaging** through artificial intelligence. By leveraging a **pre-trained PyTorch model** trained on the **OrganMNIST3D dataset**, the platform classifies 3D organ images with high precision.
### Features
- **AI-Powered Classification:** Uses a **Hierarchical Attention Mechanism Vision Transformer (ViT)** for accurate organ classification.
- **Interactive Visualization:** A **React-based frontend** enables users to upload and explore 3D medical images.
- **Robust Backend Processing:** A **Python backend** processes images and performs AI-based classification.
- **ChatGPT Integration:** Generates **plain-language explanations** of classification results for better accessibility.
- **User-Friendly Interface:** Designed to bridge the gap between **complex medical imaging** and **easy-to-understand insights**.
### How It Works
1. **Upload a 3D medical image** through the frontend.
2. The **backend processes the image** using the **pre-trained PyTorch model**.
3. The **AI model classifies the organ** in the scan.
4. The results are displayed **alongside the 3D image**.
5. **ChatGPT generates a plain-language description** of the classification.
### Applications
- **Medical Diagnosis:** Supports healthcare professionals in analyzing medical images.
- **Education & Training:** Aids in learning about organ classification and AI-driven imaging.
- **Patient Communication:** Helps convey complex medical information in an understandable format.
### Technologies Used
- **Frontend:** React, Three.js (for 3D visualization)
- **Backend:** Python, Flask, PyTorch
- **AI Model:** Vision Transformer (ViT) trained on OrganMNIST3D
- **Natural Language Processing:** OpenAI ChatGPT API
### Future Enhancements
- Improved **classification accuracy** with additional training datasets.
- Enhanced **3D rendering capabilities** for better visualization.
- Integration of **more AI models** for broader medical imaging applications.
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OrganInsight is a step toward **making healthcare technology more accessible and user-friendly**, demonstrating the potential of AI in **revolutionizing medical imaging**.