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Mapping and Integrating Dicom Image Metadata into the Omop Common Data Model: A Framework for Enhancing Clinical Research and Ai Applications

https://doi.org/10.2139/ssrn.5212701
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-10850-1openalex-snapshot
Digital Imaging and Communications in Medicine (DICOM)
inferredcites →https://doi.org/10.1007/s003300101100openalex-snapshot
Introduction to the DICOM standard
inferredcites →https://doi.org/10.1007/s10278-024-00982-6openalex-snapshot
Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension
inferredcites →https://doi.org/10.1007/s41666-026-00256-6openalex-snapshot
DisMed-LLM: De-Identifying Spanish Medical Text with Large Language Models
inferredcites →https://doi.org/10.1038/sdata.2016.44openalex-snapshot
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
inferredcites →https://doi.org/10.1109/access.2023.3326882openalex-snapshot
SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model
inferredcites →https://doi.org/10.1148/radiographics.12.2.1561424openalex-snapshot
Introduction to the ACR-NEMA DICOM standard.
inferredcites →https://doi.org/10.1148/radiol.2020192224openalex-snapshot
Preparing Medical Imaging Data for Machine Learning
inferredcites →https://doi.org/10.1197/jamia.m1888openalex-snapshot
HL7 Clinical Document Architecture, Release 2
inferredcites →https://doi.org/10.1373/49.4.624openalex-snapshot
LOINC, a Universal Standard for Identifying Laboratory Observations: A 5-Year Update
inferredcites →https://doi.org/10.1385/ni:5:1:11openalex-snapshot
The extensible neuroimaging archive toolkit
inferredcites →https://doi.org/10.2196/35724openalex-snapshot
Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review
inferredcites →https://doi.org/10.3233/978-1-61499-512-8-987openalex-snapshot
BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR
inferredcites →https://doi.org/10.3233/978-1-61499-564-7-574openalex-snapshot
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers
inferredcites →https://doi.org/10.3349/ymj.2022.63.s74openalex-snapshot
Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data
inferredcites →https://doi.org/10.48550/arxiv.2010.00434openalex-snapshot
Medical imaging data structure extended to multiple modalities and anatomical regions
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