Shaping the future of care with the Diagnostic AI Consortium

Working together to define, validate, and responsibly advance diagnostic AI

Learn About the Consortium

Members of the Diagnostic AI Consortium

The Diagnostic AI Consortium is committed to advancing diagnostic AI responsibly. Together, members represent a cross-section of the best academic medical centers and community-based systems spanning the country.

Clinician wearing a stethoscope

Defining, validating,
and governing
diagnostic AI together

Together, the members care for approximately 20 million patients annually, across academic medical centers and community hospitals, in different regions, on different equipment, under different operational constraints. These nuances will provide the clinical expertise, technical proficiency, and other insights necessary to help accelerate adoption and impact of diagnostic AI across healthcare. So no matter where a patient goes, they’re receiving the same level of care.

Here’s how we aim to work together:

  • 1. Evaluate

    Together, we’ll test whether AI-enabled diagnostic
    workflows can prioritize the right cases, accelerate
    interpretation, and deliver critical results sooner in
    real-world clinical settings in support of FDA market authorizations.
  • 2. Measure

    Once we gather the data, we’ll track the impact of these workflows on safety, quality, and speed to diagnosis across member sites. We’ll also conduct ongoing monitoring for performance drift and bias across diverse patient populations, care settings, and imaging equipment.
  • 3. Share

    When we’ve discovered what works, we’ll create implementation and governance practices that any health system can adopt — inside the Consortium and beyond — so the standards being built here can be used within any hospital.
Elad Walach
"For a long time, the industry treated speed and safety as opposing forces in AI: Silicon Valley's 'move fast and break things' against medicine's 'first, do no harm.' This Consortium is built on the belief that it can be done the right way, guided by two principles: iteratively and together."
Elad Walach
CEO and Co-Founder, Aidoc
Dr. James Carr
"By joining the Diagnostic AI Consortium, we are helping shape the responsible use of diagnostic AI through rigorous evaluation, shared governance and real-world evidence, with the goal of improving care for patients everywhere."
Dr. James Carr
Chair of the Department of Radiology, Northwestern Medicine
Andy Crowder
"Joining the Diagnostic AI Consortium allows us to bring that unique perspective to a national effort shaping the future of diagnosis. Together, we're helping define how diagnostic AI can be evaluated, governed and integrated into care in ways that are practical, responsible and scalable."
Andy Crowder
Chief Digital and AI Officer, Advocate Health

Aidoc: The technology partner

Aidoc is the technology partner and convener of the Diagnostic AI Consortium, providing the infrastructure that lets health systems evaluate, measure, and govern diagnostic AI on shared ground.

That infrastructure runs on Aidoc’s CARE™, the clinical AI foundation model, and aiOS™, the enterprise AI operating system, which manages deployment, workflow integration, and post-deployment monitoring across member sites. Aidoc will also make investigational use devices available under IRB oversight, including its First Read draft-reporting AI, which recently received FDA Breakthrough Device Designation*, pointing to where the category is headed.

Aidoc’s AI already runs in nearly 2,000 hospitals, analyzing 60 million patients a year. That’s the scale the Consortium is building on.

Aidoc engineer at workstation
Aidoc team reviewing screens