The future of gastroenterology built on a foundation of artificial intelligence
UltivisionAI™ Platform*
UltivisionAI, an intuitive software platform, provides actionable real-time computer vision and machine learning detection, automated reporting, and data-driven analytic tools to improve patient care and clinical workflows.
UltivisionAI leverages over 10 years of data from more than 53,000 procedures to empower physicians, healthcare providers, and life sciences companies to make data-driven decisions for more reliable GI disease detection.
Applying Ultivision AI allows for:
- Optimized clinical outcomes
- Decision support and quality assessment/reporting
- Practice management applications to streamline workflow
$20B
spent each year in the U.S. on colon cancer screening1
25%
of polyps are missed by physicians2
10%
of colorectal cancer is a result of failed polyp detection3
#2
cause of cancer death in the U.S. today even with current preventive measures4
¹ Data from CDC: https://www.jwatch.org/na47723/2018/10/23/burden-and-costs-gastrointestinal-disease-us
² Rex et al. large tandem trial in 1997
³ Corley DA, Levin TR, Doubeni CA. Adenoma detection rate and risk of colorectal cancer and death. The New England Journal of Medicine. 2014. p. 2541. doi:10.1056/NEJMc1405329
4 Data from WHO: https://www.who.int/news-room/fact-sheets/detail/cancer
-
Barrett’s / Esophagus Cancer
Received FDA breakthrough designation
-
Stomach Cancer
Potential target
-
Inflammatory Bowel Disease
Development partnership with Eli Lilly
-
Colon Cancer
Polyp Detection, Pathology, Classification of Polyps
Barret's / Esophagus Cancer
Received FDA breakthrough designation
Stomach CancerStomach Cancer
Potential target
Inflammatory Bowel DiseaseInflammatory Bowel Disease
Development partnership with Eli Lilly
Colon CancerColon Cancer
Poly Detection, Pathology, Classification of Polyps
More Reliable Patient Outcomes
Computer-aided detection may lead to better decision-making by physicians, more reliable treatment plans, and quality outcomes for patients.
Improved Physician Practice Efficiencies
Real-time data collection has the potential to facilitate quality objective reporting, enhanced data analytics, and reduced burden of documentation and other administrative tasks.
Reduced Financial Impact for Payors
Better clinical outcomes will reduce short-term and long-term healthcare costs and quality data will help support value-based care.