Flywheel is a comprehensive medical imaging platform designed to manage and analyze large datasets efficiently. It focuses on automating time-consuming processes, enabling researchers to concentrate on AI-driven medical imaging research. The platform supports multi-site collaborations and integrates tools for developing and deploying AI models.

Key Features

• Data Management: Comprehensive tools for organizing and curating research data in cohort-centric projects.
• AI and Machine Learning: Integrated tools for developing and deploying AI models, with streamlined workflows for machine learning tasks.
• Collaboration: Web-based platform for easy collaboration across multiple sites, supporting major cloud vendors.
• Imaging Tools: Advanced viewer features, streamlined annotation, and tumor segmentation tools.
• Scalability: Elastic compute scaling for handling large datasets.
• Oncology Focus: Specialized features for oncology imaging data management, including blinded reader workflows and task management.
• Advanced Search: SQL-like query language (FlyQL) and a visual query builder for complex searches on metadata.

Benefits

• Efficient Data Management: Automates data ingestion and curation, making it easier to manage large datasets.
• Enhanced Collaboration: Facilitates multi-site collaborations by providing a centralized platform for data access and analysis.
• AI Integration: Supports the development and deployment of AI models, accelerating research and innovation.
• Scalability and Flexibility: Adapts to the needs of large-scale research projects with elastic compute capabilities.