about
Odin Vision, founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts, is developing the next generation of AI enabled applications for endoscopic procedures.
We believe that AI will create a new era of healthcare by supporting doctors to deliver higher quality care leading to improved patient outcomes and better value for healthcare payers.
CLINICAL CHALLENGE
A patient may have a colonoscopy if there are signs they may
have colorectal cancer. During the procedure, the doctor will use a small
endoscopic camera to inspect the 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 over
20% 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.
Technology
Odin Vision is leading a new era of artificial intelligence (AI) enabled application for gastroenterology. We are creating a suite of tools that support doctors to improve detection and diagnosis of disease. Our award winning, deep learning technology has been developed by academic and clinical experts at University College London who have been leading this research field for the past 20 years.
TEAM
Partners
Media
Odin Vision CEO, Peter Mountney, in BBC Breakfast
Careers
PhD Internship – As a Machine Learning PhD intern, you will explore and develop cutting edge machine learning techniques applied to cancer detection and diagnosis in images.
Junior Research Scientist – As a Junior Research Scientist, you will help to design, implement, and validate our in house machine learning frameworks.
Senior Research Scientist – As a Senior Research Scientist, you will lead the design, implementation, and validation of our in house machine learning frameworks.
Senior Software Engineer – As a Full Stack Senior Software Engineer, you will lead the front- and back-end development of our clinical prototype software.