MRI Swarm

MRI Swarm

MRI Swarm is an enterprise-grade system built with [Swarms](https://github.com/kyegomez/swarms), the leading production-ready multi-agent framework. It coordinates a team of specialized medical imaging agents to analyze MRI scans, with each agent focusing on different aspects of interpretation to provide detailed and accurate analysis. Using Swarms' proven infrastructure, MRI Swarm delivers blazingly fast and hyper-accurate medical imaging analysis.

Features

• Multi-Agent Distributed Analysis: Six specialized medical imaging agents working in coordination
• Comprehensive Diagnostic Analysis: From detailed anatomical structure to clinical correlation
• Advanced Quality Assurance: Integrated quality assessment and artifact detection protocols
• Automated Clinical Reporting: Generates detailed medical summaries with diagnostic insights
• Flexible Input Processing: Supports single and multiple MRI sequence analysis

Installation

pip3 install -U mri-swarm

Quick Start Guide

from mri_swarm import mri_swarm

# Analyze a single MRI scan
result = mri_swarm(
    task="Analyze this brain MRI for signs of multiple sclerosis",
    img="path/to/brain_mri.jpg"
)
print(result)

# Analyze multiple MRI scans
results = mri_swarm(
    task="Compare these brain MRIs for progression of tumor",
    imgs=["scan1.jpg", "scan2.jpg"]
)
print(results)

Agent Architecture

The system comprises six specialized medical imaging agents and one synthesis agent:

1. **Anatomical Analysis Agent**

   • Precise anatomical structure identification
   • Advanced brain region mapping and segmentation
   • Multi-tissue classification system

2. **Pathology Detection Agent**

   • Advanced tumor detection and classification
   • Comprehensive lesion identification
   • Disease marker evaluation protocol

3. **Sequence Analysis Agent**

   • T1/T2 weighted image interpretation
   • FLAIR sequence analysis
   • Diffusion-weighted imaging