Aidoc launches diagnostic AI consortium with 12 health systems

Aug 11, 2026

On August 12, 2026, clinical AI developer Aidoc launched the Diagnostic AI Consortium alongside 12 major U.S. health systems, including Cedars-Sinai and Northwestern Medicine. The coalition aims to establish shared standards for evaluating, governing, and scaling diagnostic AI tools. Aidoc will provide the technical infrastructure through its CARE foundation model and aiOS operating system, with the consortium expecting to release its initial workflow and safety results in 2027.

Diagnostic AI Consortium launch

▪The Diagnostic AI Consortium expects to share its initial results regarding diagnostic workflows and safety measures in 2027.
▪The Diagnostic AI Consortium includes Northwell Health, Northwestern Medicine, Sutter Health, University of Florida Health, University Hospitals of Cleveland, and WellSpan Health.
▪The Diagnostic AI Consortium includes 12 major United States health systems, including Advocate Health, Cedars-Sinai Health System, Hartford Healthcare, Houston Methodist, Mercy, and Mount Sinai Health System.
▪Clinical artificial intelligence developer Aidoc announced the launch of the Diagnostic AI Consortium on August 12, 2026, to establish shared standards for evaluating and governing diagnostic AI.

AI workflow design standards

▪Members of the Diagnostic AI Consortium will design artificial intelligence-enabled diagnostic workflows to prioritize clinical cases and deliver critical results faster in real-world settings.
▪The Diagnostic AI Consortium aims to measure the impacts of artificial intelligence-enabled workflows on safety, quality, and speed to diagnosis across its member health systems.

Clinical governance practices

▪The Diagnostic AI Consortium will continuously monitor the performance of clinical artificial intelligence tools for drift and bias across different patient populations, sites, and scanners.
▪The Diagnostic AI Consortium aims to develop shared implementation and governance practices for diagnostic artificial intelligence that can be adopted by any health system.

Enterprise AI infrastructure

▪Clinical artificial intelligence developer Aidoc will support the Diagnostic AI Consortium with its aiOS enterprise artificial intelligence operating system.
▪Clinical artificial intelligence developer Aidoc will provide the technical infrastructure for the Diagnostic AI Consortium using its CARE clinical AI foundation model.

Health system collaboration rationale

▪Dr. Leonardo Kayat Bittencourt of University Hospitals stated that no single healthcare center can capture the diversity of imaging and clinical context needed to safely scale diagnostic artificial intelligence models.
▪Aidoc Chief Executive Officer Elad Walach stated that establishing shared standards among 12 leading health systems is necessary to safely scale diagnostic artificial intelligence and shorten diagnosis times.