Containerized microservice architectures enable clinical AI systems to meet real-world constraints like data privacy while maintaining high performance, and this approach is ready for real-world deployment (TRL 6).
KAYRA is an AI system for analyzing chromosomes (karyotyping) in clinical labs using a pipeline of deep learning models. It can run in the cloud or on-premise to handle privacy requirements, and achieves 98.91% accuracy on chromosome segmentation—significantly better than existing commercial systems.