MedCore AI Platform

🧠 Project Vision

MedCore AI Platform is a plugin-oriented medical image processing system designed to support AI-based analysis of MRI, CT, and X-ray images.

The platform aims to provide:

• Modular AI integration
• Scalable backend architecture
• Research-friendly design
• Future LLM integration

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🎯 Problem Statement

Current medical AI systems are often:

• Model-specific
• Hard to extend
• Not modular
• Not plugin-ready

MedCore solves this by introducing a Core-Based + Plugin-Oriented Architecture.

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👤 Target Users

• AI Researchers
• Medical Imaging Students
• HealthTech Developers
• Future Clinical Integrators

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🚀 MVP 1 Scope

The first MVP will include:

• X-ray image upload
• Basic classification model
• API endpoint for prediction
• Simple frontend interface
• Dockerized backend

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❌ Out of Scope (Phase 0-1)

• 3D volumetric MRI processing
• PACS integration
• Federated learning
• Clinical validation
• Multi-modal fusion

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🏗️ Architectural Direction

Core-Based + Plugin-Oriented System Client (Frontend) ↓ API Layer (Backend) ↓ Core Engine ↓ Plugin Manager ↓ AI Plugins (Classification / Segmentation / Detection) ↓ Database & Storage

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📌 Development Phases

• Phase 0 – System Architecture & Foundation
• Phase 1 – Classification MVP
• Phase 2 – Segmentation
• Phase 3 – Real Plugin System
• Phase 4 – LLM Integration
• Phase 5 – DevOps & Dockerization