Trusted imaging data for real-world AI development
Access multimodal, longitudinal imaging data and linked clinical context sourced directly from connected healthcare systems to support AI model development, validation, deployment, and clinical performance evaluation at scale.
Built from real-world clinical workflows, Avandra helps AI innovators develop models designed for the complexity, variability, and realities of healthcare delivery.
As healthcare AI moves from experimentation to clinical deployment, the industry is shifting from simply acquiring more data to building models trained on trusted, representative, and clinically grounded datasets.
Many AI models struggle with generalizability because training data lacks longitudinal context, diversity across care settings, or real-world clinical complexity.
Avandra connects imaging data directly from healthcare workflows - helping AI teams train, validate, and deploy models with greater confidence in real-world performance.
Clinical AI requires more than volume alone
Access diverse imaging datasets across modalities, scanner manufacturers, imaging protocols, and care environments to support AI training, validation, and deployment at scale.
By reflecting the variability of real-world clinical imaging, Avandra helps AI teams build more robust, generalizable models designed for performance across diverse patient populations and healthcare settings.
Multimodal imaging data built for healthcare AI
Power AI innovation across
the development lifecycle
Longitudinal imaging data and linked clinical context built for AI model development, validation, deployment, and real-world clinical performance.
Foundation Model Development
Support multimodal foundation model initiatives with longitudinal imaging datasets reflecting real-world clinical variability.
AI Training & Validation
Train and validate models using imaging data linked with outcomes, disease progression, and longitudinal clinical context.
Clinical Workflow Optimization
Enable AI-powered triage, prioritization, and workflow acceleration using clinically representative imaging data.
Quantitative Imaging & Biomarkers
Develop imaging biomarkers and quantitative models supporting disease characterization and precision medicine.
Real-World Performance
Assess model robustness and generalizability across diverse patient populations, imaging protocols, and care settings.
CASE STUDY
AI-driven imaging triage has the potential to improve care prioritization, reduce radiologist burden, and accelerate identification of urgent findings but success depends on clinically representative training and validation data.
Avandra supports imaging AI initiatives with longitudinal datasets sourced directly from clinical workflows, enabling the development of models designed for real-world operational environments.
Accelerate time-to-care with Imaging AI
Trusted imaging
data at scale
Every dataset is curated to support high-confidence AI development, with imaging data sourced directly from clinical workflows and enriched with longitudinal clinical context. Designed for representativeness, traceability, and scalability, Avandra helps AI teams build models grounded in real-world care.
Source-Level Connectivity
Direct PACS/VNA connectivity
Longitudinal Clinical Context
Linked outcomes and patient journeys
Trusted Provenance
Lineage and traceability
Expert-Guided Curation
Clinical + imaging expertise
Unlock the full value of
real-world imaging data
From foundation model development and imaging triage to multimodal AI and quantitative imaging, Avandra helps AI innovators activate longitudinal imaging data at scale. Connect with our team to explore imaging modalities, therapeutic area expertise, and research-ready datasets designed for real-world AI performance.