• Laitek's technology to accelerate transition of customers to GE HealthCare's Enterprise Imaging and PACS solutions
• Secure cloud migration framework to handle vast imaging data volumes efficiently
• AI-powered tools to clean, curate, and optimize imaging data during migration
• Aims for faster end-to-end imaging data migrations, improving operational efficiency and care decisions

Enlitic, Inc. (ASX:ENL), a software development company specializing in artificial intelligence (AI) solutions for managing medical imaging data in radiology, and its subsidiary Laitek, announce a strategic collaboration with GE HealthCare. This collaboration aims to revolutionize large-scale, AI-driven migrations for Enterprise Imaging solutions, and builds on the Master Services Agreement in place between Laitek and GE HealthCare, expanding that intended collaboration to Enlitic's suite of products. This aims to streamline application migrations, enabling healthcare providers worldwide to adopt advanced diagnostic and care decision capabilities more efficiently. Key highlights include: Next-Generation AI and Automation - Laitek's data migration technology will accelerate the transition of customers to GE HealthCare's newest Enterprise Imaging and PACS solutions. Enterprise-Scale Migration - The collaboration will provide a scalable, secure, and high-performance cloud migration framework for GE HealthCare customers. Standardization and Compliance - Enlitic's platform will ensure seamless standardization and interoperability across different imaging platforms. Advanced Data Optimization - AI-powered automated migration tools will clean, curate, and enhance imaging data quality. Reliability at Scale - Enlitic and Laitek will leverage its proprietary high-performance migration engine for large-scale imaging workloads.

This collaboration aims to provide GE's healthcare clients with a seamless transition to the cloud while improving data quality, accessibility, and efficiency. It demonstrates a shared commitment to innovation, intelligence, and impact in healthcare data management.