Briefing
Integrated imaging data across the complete patient journey
Medical imaging is increasingly central to biomarker discovery, AI development, and evidence generation, yet most real-world datasets lack imaging studies linked to longitudinal clinical outcomes. This briefing explores how Truveta enables researchers and AI teams to analyze more than 190 million real-world DICOM images in full clinical context using longitudinal EHR data, clinical notes, social determinants of health, and linked claims and mortality. By combining imaging with comprehensive patient journeys, researchers can identify imaging-derived biomarkers, develop and validate predictive models, evaluate treatment effectiveness and device performance, and generate evidence for regulatory and observational research.
Download the briefing to explore how:
- Linked DICOM images and metadata support biomarker discovery and quantitative imaging analyses.
- Longitudinal imaging and clinical data enable AI model training, validation, and risk prediction at scale.
- Imaging-derived measurements can evaluate treatment effectiveness, device performance, and procedural outcomes.
- Imaging-derived endpoints and longitudinal clinical context support regulatory and evidence generation workflows.
