CADU Description
CADU, a cloud-enabled AI solution created by Odin Vision, is designed to aid in identifying and characterizing dysplasia in individuals with Barrett’s oesophagus during gastroscopy. The system evaluates areas that visually resemble Barrett’s oesophagus and offers insights to help clinicians determine whether the tissue is dysplastic or non-dysplastic. By improving the decision-making process for endoscopists and expediting the examination of the oesophagus, CADU proves to be both time-efficient and cost-effective. Additionally, it functions on a platform that is vendor-neutral, facilitating its use with various endoscopic equipment. The system is CE marked and holds UKCA approval; however, it is not available for commercial sale in the United States. CADU has been adopted in clinical environments, including University College London Hospitals, aiming to enhance the detection of early oesophageal cancer, which can often be difficult to identify due to the subtle nature of initial lesions. Its implementation represents a significant advancement in the early diagnosis of this serious condition, highlighting the importance of technology in modern medicine.
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