medImag

medImag is a software platform designed to manage, analyze, and visualize medical imaging data across clinical, research, and educational settings. It provides integrated storage, retrieval, processing pipelines, and tools for annotation and collaboration, supporting multiple imaging modalities such as MRI, CT, ultrasound, and pathology slides.

The platform emphasizes interoperability and extensibility. It supports common standards such as DICOM for image data and HL7/FHIR for patient information, and offers APIs for third-party algorithms and plugins. Its modular architecture typically includes a secure data repository, image processing and visualization engines, annotation and measurement tools, and workflow orchestration. Deployments can be on-premises, in private clouds, or in public cloud environments, with emphasis on scalability and data governance. The system incorporates security features such as role-based access control, audit logging, encryption at rest and in transit, and de-identification options to support research use and multi-institutional collaborations.

Usage and impact: medImag is used to support radiology workflows, research studies, and educational activities. In clinical settings, it enables image review, quantitative analysis, and longitudinal tracking of disease, while researchers leverage batch processing, machine learning pipelines, and multi-site data sharing to develop and validate imaging biomarkers and AI models.

Limitations and challenges: Real-world adoption faces integration with legacy PACS, data governance complexity, and resource requirements. Ensuring reproducibility of AI-based results, maintaining data quality, and managing consent and privacy across institutions remain ongoing concerns. Continued development focuses on improving interoperability, expanding modality support, and enhancing user collaboration features.

Related topics include PACS, DICOM, HIPAA, FHIR, and radiomics.