Mass General Brigham integrated AI tools into its radiology workflows through long-term collaborations with GE HealthCare (since 2017) and Microsoft/Nuance (since 2018), including the development and deployment of AI algorithms for CT and MRI image analysis, organ segmentation, and radiology report generation, deployed within clinical radiology reading rooms.

Mass General Brigham's collaboration with GE HealthCare focuses on developing AI solutions integrated into CT and MR scanners and PACS (Picture Archiving and Communication System) workstations used by radiologists. One confirmed deployed application is a CT deep learning auto-segmentation algorithm that reduces organ contouring time from three hours to 15–20 minutes. Mass General Brigham was also among the first health systems to deploy medical imaging AI models via Nuance's Precision Imaging Network and NVIDIA's MONAI framework, embedding AI algorithms directly into radiologists' reporting workflows via Nuance PowerScribe. In 2024, Mass General Brigham expanded its Microsoft/Nuance collaboration to develop multimodal AI foundation models for tasks including image interpretation, disease classification, and report generation.