Clara for Medical Imaging

Deep learning frameworks have significantly improved the development and deployment of medical imaging AI, helping researchers use computer vision to perform accurate early detection, medical classification, and advanced, automated 3D segmentation for medical imaging analysis. When these models are taken to the clinical environment, they can help clinicians streamline imaging workflows, uncover hidden insights, improve productivity, and connect multimodal patient information for deeper patient understanding.

Building the next generation of AI applications for medical imaging requires a solution that incorporates data, training, collaboration, validation, packaging, and deployment into an AI factory.