Delivering Better GI Care with AI Technology

Transforming GI disease diagnosis and healthcare decision making

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
  • 1

    $20B

    spent each year in the U.S. on colon cancer screening1

  • 2

    25%

    of polyps are missed by physicians2

  • 3

    10%

    of colorectal cancer is a result of failed polyp detection3

  • 4

    #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

UltivisionAI can be applied to the entire GI tract

Proprietary vision learning algorithms are being developed and trained in the following lower and upper GI tract indications:

  • 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

Barret's / Esophagus Cancer

Received FDA breakthrough designation

Stomach Cancer

Stomach Cancer

Potential target

Inflammatory Bowel Disease

Inflammatory Bowel Disease

Development partnership with Eli Lilly

Colon Cancer

Colon Cancer

Poly Detection, Pathology, Classification of Polyps

Delivering value across the entire GI healthcare ecosystem

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More Reliable Patient Outcomes

Computer-aided detection may lead to better decision-making by physicians, more reliable treatment plans, and quality outcomes for patients.

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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.

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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.

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