Twelve U.S. health systems form Diagnostic AI Consortium with Aidoc

On August 11, 2026, twelve leading U.S. health systems, including Cedars-Sinai and Northwestern Medicine, partnered with Aidoc to form the Diagnostic AI Consortium. Caring for nearly 20 million patients annually, the alliance aims to co-design and validate AI workflows to accelerate clinical diagnoses. This initiative addresses a critical radiologist shortage projected to last through 2055. Utilizing Aidoc's CARE foundation model, the consortium will establish shared governance standards and expects to release its initial clinical results in 2027.

Diagnostic AI Consortium formation

• ▪Twelve U.S. health systems, including Advocate Health, Cedars-Sinai, Hartford Healthcare, Houston Methodist, Mercy, Mount Sinai, Northwell Health, Northwestern Medicine, Sutter Health, UF Health, University Hospitals of Cleveland, and WellSpan Health, formed the Diagnostic AI Consortium with Aidoc on August 11, 2026.
• ▪The twelve founding health systems of the Diagnostic AI Consortium collectively provide medical care for nearly 20 million patients on an annual basis.

Radiologist workforce shortage

• ▪Data from the Harvey L. Neiman Health Policy Institute shows that radiologists have been leaving the medical field at a 50% higher rate since the year 2020.
• ▪According to the Harvey L. Neiman Health Policy Institute, interpretation turnaround times for outpatient medical imaging more than doubled between the years 2014 and 2023.
• ▪Researchers at the Harvey L. Neiman Health Policy Institute project that the radiologist workforce shortage will persist through the year 2055 without deliberate counteraction.

AI-enabled diagnostic workflow design

• ▪The Diagnostic AI Consortium will co-design AI-enabled diagnostic workflows to prioritize critical cases, accelerate interpretation, and deliver results sooner to support FDA market authorizations.
• ▪The Diagnostic AI Consortium plans to measure the impact of its co-designed AI workflows on safety, quality, and speed to diagnosis, and expects to share initial results in 2027.

Aidoc clinical AI platform

• ▪Aidoc will provide the technical infrastructure for the Diagnostic AI Consortium using its CARE clinical AI foundation model and its aiOS enterprise AI operating system.
• ▪Aidoc will supply investigational use devices under IRB oversight to the Diagnostic AI Consortium, including its First Read draft-reporting AI which holds an FDA Breakthrough Device Designation.

Shared governance standards

• ▪The Diagnostic AI Consortium aims to establish shared standards, implementation practices, and governance guidelines for evaluating diagnostic AI that any health system can adopt.
• ▪The Diagnostic AI Consortium is designed to continuously monitor AI performance for drift and bias across diverse patient populations, clinical sites, and imaging scanners.

Clinical validation requirements

• ▪Diagnostic AI requires purpose-built clinical decision-making tools that are rigorously validated in clinical practice, FDA-cleared, and designed to improve measurable patient outcomes.
• ▪Diagnostic AI must be designed to detect subtle clinical signals across imaging, pathology, laboratory data, and medical records rather than simply generating content or answering questions.