Welcome to the AI Pathology Copilot project repository. At this time, the project is in the brainstorming and planning phase. While our vision is clear and tasks have been determined, we are still finalizing the technology stack, architecture, and implementation details.

AI Pathology Copilot is envisioned as a multimodal AI-powered assistant designed to help pathologists analyze medical images and interpret pathology reports. The core objectives include:

• Enhancing Diagnostic Accuracy:
  Automatically process pathology images to identify regions of interest and potential abnormalities.

• AI-Driven Q&A:
  Provide intelligent, preliminary answers to pathology-related questions to support report interpretation.

• Patient Severity Ranking:
  Offer a basic ranking system to prioritize patient cases based on combined image and text analysis.

Note: The project is still in the conceptual stage. Specific technologies and methodologies are under evaluation.

• Brainstorming Phase:
  We are actively discussing and refining the project’s vision and goals.

• Task Determination:
  Key tasks and milestones have been outlined to guide the prototype development.

• Technology Choices:
  The final tech stack (backend, frontend, AI models, deployment strategy, etc.) is yet to be decided. We welcome suggestions and contributions in this area!

While details are still being refined, the following features are under consideration:

• Image Processing:
  Automated processing of pathology images (e.g., JPEG, PNG) to detect regions of interest.

• AI-Powered Q&A:
  Integration of a question-answering system using generative AI to support pathology report analysis.

• Patient Severity Ranking:
  A preliminary system to assess and rank patient cases based on diagnostic inputs.

• User Interface:
  A web-based interface for easy image uploads and interactive AI engagement (potentially using Gradio).

We appreciate your interest and invite you to participate in shaping the future of this project. Here are some ways to contribute:

• Join the Discussion:
  Share your ideas, feedback, and suggestions in our issue tracker.

• Help Decide on Technologies:
  Assist us in evaluating and selecting the best tools and frameworks for our needs.

• Contribute to Task Planning:
  Review the outlined tasks and propose improvements or alternative solutions.

• Finalize the Technology Stack:
  Decide on the most suitable tools and frameworks for development.

• Define Detailed Tasks:
  Break down the high-level tasks into actionable items.

• Start Prototyping:
  Begin initial development once the planning phase is complete.

This project is currently in the brainstorming phase and does not contain any code. Once development begins, it will be released under an appropriate open-source license.

For any questions, suggestions, or to get involved, please reach out at [email protected].

Thank you for your interest in AI Pathology Copilot! Together, we can innovate and improve the future of pathology diagnostics.