AI-Powered Intestinal Ultrasound Imaging Analysis for Rapid IBD Assessment
DovaSound (in development) uses advanced AI to standardize intestinal ultrasound (IUS) image capture, interpretation, and reporting. By reducing operator dependency and variability, it aims to makes IUS a more accessible, scalable, and clinically useful IBD surveillance tool in practice and trials.
AI Guided Support
Automated detection and segmentation of key anatomical structures to support consistent image capture and interpretation.
Automated Quantification
Generates standardized measurements ensuring reproducible, objective tracking of disease activity.
Enhanced Image Quality and QA
Feedback on image quality and bowel visualization, reducing variability between operators and supporting reliable longitudinal assessments.
Integrated Trial and Clinical Reporting
Auto-generated structured outputs aligned with IBUS/IUSCAN standards, enabling seamless use in daily practice, global trials, and pharma research.
AI-powered IUS expands access to rapid, non-invasive monitoring, reducing reliance on invasive procedures and increasing patient comfort and adoption.
Standardized, reproducible measurements provide pharma with reliable trial endpoints, accelerating drug development and regulatory acceptance.
As a patient-preferred tool, IUS lowers barriers to trial participation and its cost-effectiveness enables more frequent surveillance checkpoints.
By minimizing operator dependency and variability, DovaSound supports consistent care across centers, enabling broader adoption and global scalability.
DovaSound is an AI-powered product currently under development, designed to enhance the clinical utility of intestinal ultrasound (IUS) for monitoring Inflammatory Bowel Disease (IBD). Built for both research and real-world care, DovaSound brings objectivity, automation, and clinical relevance to IUS - making it a smarter, more scalable alternative to traditional approaches.
DovaSound is being developed to meet rising demand for non-invasive, scalable tools that support earlier intervention, more frequent monitoring, and improved access across diverse patient populations. It is designed to reduce variability in interpretation, automate key measurements, and deliver standardized, unbiased insights - enabling faster decisions and greater precision in both care and research settings.
DovaSound leverages Dova’s validated AI infrastructure - benefiting from prior development pathways, regulatory groundwork, and partnerships with global experts and institutions. Government-backed and KOL-supported, it’s positioned to accelerate adoption in both clinical and research environments.
