Creating the next generation of AI-enabled applications for endoscopy
CADDIE is a cutting-edge artificial intelligence (AI) system that aids endoscopists to detect and characterise polyps during colonoscopy procedures. It provides AI decision support to gastroenterologists and other trained endoscopists by highlighting areas of the large bowel with visual characteristics consistent with different types of colonic polyps*.
Get in touch to find out more and arrange a trial.
NHS fast tracks Odin Vision’s artificial intelligence technology to fight bowel cancer
Odin Vision’s artificial intelligence technology will be installed into selected hospitals across the UK to evaluate its impact on patient outcomes and the cost benefits to the NHS, thanks to a new grant award announced today…
Odin Vision is an award-winning artificial intelligence (AI) company founded by a team of eminent clinicians and artificial intelligence experts with the mission of creating the next generation of AI-enabled applications for endoscopy.
We believe that AI will create a new era of healthcare by supporting doctors to deliver higher-quality care leading to improved patient outcomes, better patient experiences and increased value for healthcare providers.
Colonoscopy: A patient may have a colonoscopy to look for signs of colorectal cancer. During the procedure, the doctor will use a small endoscopic camera to inspect the bowel tissue surface and look for small growths called polyps. Some polyps are harmless, while others can develop into cancer.
Detecting and diagnosing polyps is challenging for doctors and studies have shown up to 25% of polyps can be missed. Increasing the detection/diagnosis performance can lead to improved patient outcomes. A 1% increase in Adenoma Detection Rate (ADR) leads to a 3% reduction in cancer incidents.
Odin Vision is a spin-out from the world-renowned Wellcome / EPSRC Centre for Interventional and Surgical Sciences at University College London (UCL). The centre members have pioneered the research field of endoscopic computer vision and machine learning over the past 20 years.
Our award-winning deep learning technology is the foundation of our clinical applications to detect and support the characterization of diseases.
Odin Vision CEO, Peter Mountney, on BBC Breakfast
Full-Stack Engineer – As a Full-Stack Engineer at Odin Vision, you will be leading the design and development of a suite of tools to help doctors improve the detection and diagnosis of cancer.
Junior Research Scientist – As a Junior Research Scientist at Odin Vision, you will help to design, implement, and
validate new machine learning frameworks.
Quality and Operations Officer – As a Quality and Operations Officer, you will assist in the day to day maintenance and monitoring of the quality management system and support the technical team in completing regulatory documentation.
Software Engineering Intern – As a Software Engineering Intern at Odin Vision, you will be supporting the design and development of a suite of real-time image processing tools to help doctors improve the detection and diagnosis of cancer.