Development, Evaluation, and Deployment of a Multi-Agent System for Thoracic Tumor Board

1. 1Develop a manual AI-based workflow to generate patient summaries
2. 2Design a multi-agent system to automate the process
3. 3Evaluate the system using metrics such as accuracy and efficiency
4. 4Deploy the system in a real-world setting, such as a thoracic tumor board
5. 5Test and refine the system to ensure seamless integration with existing workflows

Data scientists, AI engineers, and healthcare professionals can benefit from this research to improve tumor board efficiency and accuracy

💡 Multi-agent systems can improve the efficiency and accuracy of tumor boards by automating patient summary generation

🚀 AI-powered multi-agent system for thoracic tumor boards! 📊 Improving patient care recommendations with automated patient summaries 💡