Gastrointestinal diseases can be hard to diagnose, and severity is subjective, leading to inconsistent treatment plans for patients and high costs to payors.
An AI-based computer-aided detection software platform with the potential to empower physicians, healthcare providers, and life sciences companies with data for more reliable and objective detection and diagnosis.
- Potential to apply to the entire GI tract (upper and lower) for a variety of indications
- Ability to run several complex deep-learning algorithms in real-time
- Seamless integration with existing endoscopy systems and monitors
- Built on 10 years of procedure and curated videos
How it works
Examples of the potential of Ultivision in practice
Detection of hard-to-find lesions*
Optical Characterization of lesions*
Barrett’s Esophagus Dysplasia*
Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves “Resect and Discard” Thresholds
The American Journal of Gastroenterology
Artificial intelligence for colon polyp detection: Why should we embrace this?
Techniques and Innovations in Gastrointestinal Endoscopy
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1 Data from WHO: https://www.who.int/news-room/fact-sheets/detail/cancer
2 Data from CDC: https://www.jwatch.org/na47723/2018/10/23/burden-and-costs-gastrointestinal-disease-us
5 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