Medical AI Databases and Resources - RO

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Research and Innovation - RO

Medical AI Databases and Resources

The Ottawa Medical AI Research Institute (OMARI) supports medical AI innovation by sharing curated datasets and practical tools. This section includes data sources, platforms, compute services and other resources to help researchers build, test and apply AI in health.

Databases and Resources

The Ottawa Medical AI Research Institute (OMARI) has compiled a list of platforms, tools and compute resources that support medical AI projects and help researchers manage, store and process data. We have included information about the resources, how to access them and any prerequisites.

ARCHIMEDES Platform – University of Ottawa Heart Institute

ARCHIMEDES (Advanced Research Collaboration for Health Integration, Medical Exploration, and Data Synthesis) is a health data platform that provides centralized access to curated, multi-modal brain-heart datasets, advanced analytics tools and high-performance computing. The platform supports secure, collaborative health research, and can help research groups manage their own datasets through a data governance platform that supports compliance with Tri-Council data sharing requirements.

To learn more or request access, contact [email protected] or visit the .

The Ottawa Medical AI Research Institute (OMARI) provides access to databases and datasets that support the development, evaluation, and application of artificial intelligence in health. This section brings together data sources identified by experts and contributors in the field, along with information on dataset type, access conditions, prerequisites, and links to documentation or contacts.

Description	No. sources	Longitudinal	Accessibility
: The RDC program provides secure access to Statistics Canada’s individual-level microdata for health and social research. The catalogue can be filtered by keywords like “health.” Data type: Survey, administrative, population health, social determinants Funding source: Government of Canada Data source: Statistics Canada	Multiple	Yes	Apply for access
: Google shares datasets that may be useful to researchers across various fields, including health. Use the keyword “health” to help narrow your search. Data type: EHR, genomic, medical imaging, insurance, community, survey Funding source: Google Data source: Various	Multiple	No	Open
: UK Biobank is a biomedical database with genetic and health data from 500,000 UK participants, available to approved researchers studying major diseases. Data type: EHR, genomic, medical imaging, sensors, labs Funding source: National Health Service (NHS) Data source: Collaborative (data linkage and harmonization)	Multiple	Yes	Apply for access
: MIMIC-III is a freely available database of detailed, deidentified health data from over 40,000 ICU patients admitted to Beth Israel Deaconess Medical Center from 2001 to 2012. It includes vital signs, labs, medications, and more. Data type: EHR Funding source: National Institutes of Health (NIH) Data source: Beth Israel Deaconess Medical Center	Single	No	Apply for access
: HCUP is a collection of U.S. healthcare databases that include hospital inpatient, outpatient and emergency department data. These datasets support research on healthcare delivery, cost, quality and outcomes. Data type: Administrative, hospitalization, cost, utilization Funding source: U.S. Department of Health and Human Services Data source: U.S. Agency for Healthcare Reseach and Quality (AHRQ)	Multiple	Yes	Apply for access
: Open access to patient-level oncology datasets from completed clinical trials, enabling researchers to explore and analyze cancer data to advance scientific discovery. Data type: Clinical trials, oncology, patient-level Funding source: CEO Roundtable on Cancer Consortium Data source: Project Data Sphere, LLC	Multiple	No	Open after registration/agreement
: SEER provides information on cancer statistics in an effort to reduce the cancer burden among the U.S. population. Data type: Registry, oncology, patient-level Funding source: unknown Data source: Surveillance Research Program (SRP) in NCI's Division of Cancer Control and Population Sciences (DCCPS)	Multiple	No	Open after registration with a valid institutional email, completed application form, data user agreement and acknowledgement of data limitations
: Datasets provide training data for machine learning models Data type: Biomedicine and imaging, text and NLP, sensor and signal, network traffic and security, finance and economics, social sciences and surveys Funding source: open source / community Data source: OpenML.org	Multiple	No	Open