RadioAgent 🩺: AI-Powered Radiological Analysis

RadioAgent is an advanced clinical decision support system designed to empower radiologists and healthcare professionals. Built with Next.js and Google's Genkit, this application leverages cutting-edge generative AI to analyze medical images (X-rays, CT scans, MRIs), generate detailed diagnostic reports, and provide interactive, explainable insights to improve patient outcomes.

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✨ Key Features

• Multi-Modal Upload: Seamlessly upload and analyze a series of medical images (X-ray, CT, MRI) or videos (ultrasound) in a single session.
• 🚀 Instant AI Analysis: Receive immediate AI-generated key findings and a prioritized list of detected anomalies, accelerating the diagnostic process.
• 💡 Explainable AI (XAI): Visualize the areas of an image the AI focused on to reach its conclusions. This transparency builds trust and allows for clinical validation of the AI's reasoning.
• 📋 Comprehensive PDF Reports: Generate and download detailed, professionally formatted diagnostic reports complete with patient information, key images, and AI findings.
• 🔬 Symptom & Finding Correlation: Input patient symptoms to receive a differential diagnosis that correlates clinical signs with imaging findings, enhancing diagnostic accuracy.
• 🤖 Conversational Assistant: Engage with an AI assistant to ask follow-up questions, clarify findings, or explore differential diagnoses in a natural, conversational way.

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Workflow

1. Upload: Start by uploading one or more medical images or videos.
2. Analyze: The AI analyzes the entire series, identifying key findings and anomalies.
3. Review: An initial report is generated. You can dive deeper with:
   • Explainable AI: See heatmaps showing what the AI focused on.
   • Symptom Correlator: Add clinical symptoms for a differential diagnosis.
   • Conversational AI: Ask clarifying questions.
4. Download: Generate and download a comprehensive PDF report with all the details.

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🛠️ Tech Stack

• Framework: Next.js (with App Router)
• Language: TypeScript
• AI/ML: Google Genkit
• UI: React, ShadCN UI
• Styling: Tailwind CSS
• Deployment: Firebase App Hosting

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🚀 Getting Started

To run this project locally, you will need to set up your environment with a Google AI API key.

1. Prerequisites

• Node.js (v18 or later)
• npm or yarn

2. Installation

Clone the repository and install the dependencies:

npm install

3. Environment Variables

You need a Google AI API key to use the generative AI features.

1. Get your key from Google AI Studio.

2. Create a file named .env in the root of the project.

3. Add your API key to the .env file:

   GOOGLE_API_KEY=YOUR_API_KEY_HERE
   

4. Running the Application

This project requires running two processes concurrently: the Next.js development server and the Genkit development server.

1. Start the Genkit Server: Open a terminal and run:

   npm run genkit:watch

   This starts the Genkit flows and will automatically restart when you make changes to files in src/ai/.

2. Start the Next.js App: Open a second terminal and run:

   npm run dev

   This starts the Next.js application, which you can access at http://localhost:9002.