MIIMMD

MIIMMD stands for Multimodal Imaging and Integrated Molecular Diagnostics. It refers to a proposed framework and data model intended to unify multimodal medical imaging data with molecular and clinical information to support precision medicine. The goal is to enable cross-domain analyses that combine imaging phenotypes with molecular signatures to improve diagnosis, prognosis, and treatment planning.

The core idea is to provide a common schema and interoperable interfaces that allow imaging data from modalities such as CT, MRI, and PET; histopathology; and molecular assays including genomics and proteomics to be stored, linked, and analyzed together. The architecture is modular, comprising a data model layer, an interoperability layer for mappings to existing standards, and an analytics layer for feature extraction, data fusion, and visualization. Emphasis is placed on data provenance, reproducibility, and scalable processing.

Standards alignment involves mapping to DICOM for imaging data and HL7 FHIR for clinical information, with additional support from established ontologies such as SNOMED CT and RadLex to enable semantic interoperability. A security and governance layer addresses privacy, access control, and audit trails, acknowledging regulatory requirements and ethical considerations in handling sensitive health data.

Applications are envisioned in research and exploratory clinical use, particularly in oncology and other complex diseases where multimodal information can inform patient stratification and personalized therapy. At present, MIIMMD is described in scholarly and industry discussions as a conceptual framework and demonstration model rather than a widely adopted standard, with ongoing work to address data heterogeneity, governance, and practical implementation challenges.