Welcome to Medical Injury Detection, a cutting-edge application powered by OpenAI's GPT-4 Vision
model. This innovative tool is crafted to aid medical professionals and researchers in the analysis and interpretation of medical images, focusing on injury detection.
- Image Upload: Users can upload an injury image for detailed analysis.
- Advanced Analysis: Employs the
GPT-4 Vision
model for in-depth examination of the uploaded injury images. - Comprehensive Reporting: Offers a downloadable report including a diagnosis and a follow-up plan.
- Interactive User Experience: Allows for the addition of detailed descriptions about the image, enhancing the accuracy of the analysis.
- Streamlit Interface: A user-friendly interface ensures easy usage and interaction.
- Upload Image: Users upload an image depicting a medical injury.
- Add Details: Optionally provide additional information about the image for a thorough analysis.
- Analyze: Leveraging the
GPT-4 Vision
model, the application analyzes the image and produces a detailed report. - Download Report: Users can download the generated diagnosis and follow-up plan for medical use.
Medical Injury Detection is developed by Jamall Winn, a forward-thinking innovator in medical technology and AI applications.
- LinkedIn: Jamall Winn
- Instagram: @jamall.w
This project is licensed under the MIT License - see the LICENSE.md file for details.
For further information or support, please reach out to Jamall Winn via his LinkedIn or Instagram profiles.
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