Improve efficiency
MRI scan time reduced by 15-75% depending on examination type
Breast cancer screening: 44% reduction in screen reading workload
Stroke triage: Average notification time to stroke care team 7.32 minutes (AI) vs 58.72 minutes (SoC) & 2.07 days reduction of hospital lengths of stay
Improve diagnostic performance & patient outcomes
Stroke triage: Cohort showed significantly better clinical outcomes (50% reduction in NIH stroke score) and level of disability improved vs SoC (37% improvement in ranking score)
Breast cancer screening: 29% increased cancer detection rate
50% reduction in the need for liver biopsies
Advance beyond what is possible today
What if we could reduce cancer reoperation rates through automated pathological analysis in the operating room?
What if we could predict the treatment response from a cell or gene therapy by simply looking at a tumors image?
What if we could predict diseases before they would even materialize in the body?
AI Innovation Platform Operated by Bayer
What if High-quality and Geographically Representative Imaging Data were Easily Available For Medical AI Development?
The (AI)2DEX Foundation AIIP Platform is Active in Beta Release and Available for Testing
Based on The Imaging Data Exchange (INDEX) program
Why?
To improve robust, generalizable and trustworthy AI tool development in pathology, radiology and surgical videos for better patient outcomes. AI that works for everyone, regardless of age, ethnicity, or site of care.
How?
Enhance the availability, affordability and diversity of imaging data by linking data providers, service providers and users while ensuring data quality and standardization.
What?
An easily accessible vendor-neutral imaging marketplace integrated with a multi-cloud AI development environment, featuring FDA Regulatory Science Toolkits (RSTks), robust cybersecurity, compliance with HIPAA, GDPR, and HL7 FHIR standards, transparent pricing, standardized data usage agreements, and advanced tools for data identification, deduplication, and pathology harmonization.
The AI2DEX Consortium is Currently in Phase 0 and is Enrolling with non-binding Letters Of Intent
Phase 0
Today – 12/2025
Non-binding detailed agreements for enrollment
Letters of intent from data providers indicating agreement on the fee structure, type of data, and startup cost (add data we are looking for)
Letters of intent from service providers indicating agreement on the fee structure and terms of service
Letters of intent from platform users indicating agreement on the fee structure for use of storage/compute resources and access to data and services
Phase 1
2026 / 2027 / 2028
Enhance the platform with full functionality
Enroll 100 data providers
•Radiology: breast magnetic resonance imaging (MRI), mammography/digital breast tomosynthesis, Chest CTs
•Pathology: >500,000 WSI cases, with >100,000 each of breast, prostate, head and neck, colon, and ovarian cancer
•Surgical videos: fluoroscopic videos of neuroendoscopic procedures (which include the associated CT angiograms
•Include age group, sex, race, ethnicity, and the first three digits of zip code & enroll all 10 HHS regions
Enroll 500 platform users
Enroll 25 service providers
The Fundamental Concept of the INDEX Program is to Connect Data & Service Providers with Platform Users
Data & Service Providers will Benefit from the Transactions on the Marketplace
Thanks for shaping the future of healthcare with us!
Selected customers are testing the AI Innovation Platform in early access under the alpha program. Become an Alpha Customer or join our waitlist for access to the platform when it officially launches.
Leadership
Valerio Pascucci
University of Utah
Franziska Lobig
Bayer
AI2DEX Consortium Members from
The logos displayed represent individuals affiliated with the respective institutions. Their inclusion does not imply institutional endorsement or support.
Contact us
Selected customers are testing the AI Innovation Platform in early access under the alpha program. Become an Alpha Customer or join our waitlist for access to the platform when it officially launches.
