The AIR·MS data platform for artificial intelligence in healthcare.

ABSTRACT:

Objective

To present the Artificial Intelligence-Ready Mount Sinai (AIR·MS) platform-unified access to diverse clinical datasets from the Mount Sinai Health System (MSHS), along with computational infrastructure for AI-driven research and demonstrate its utility with 3 research projects.

Materials and methods

AIR·MS integrates structured and unstructured data from multiple MSHS sources via the OMOP Common Data Model on an in-memory columnar database. Unstructured pathology and radiology data are integrated through metadata extracted from and linking the raw source data. Data access and analytics are supported from the HIPAA-compliant Azure cloud and the on-premises Minerva High-Performance Computing (HPC) environment.

Results

AIR·MS provides access to structured elect

SUBMITTER: Guerrero P 

PROVIDER: S-EPMC12629540 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature