Designed to support physicians in their diagnosis, this intelligent endoscopy system
- creates a real 3D model of the stomach and intestinal walls in real time; the panoramic images generated provide the greatest orientation for mapping polyps directly,
- highlights suspicious areas of the image using markings such as coloring,
- automatically detects polyps and other lesions (adenomas, etc.) and pre-classifies them according to the PARIS system,
- automatically generates documentation of the detected lesions and additional information (size, location, surface structure, etc.), including pre-filled text fields.
Colorectal cancer is one of the most common types of cancer. Colonoscopy is considered the most reliable method for detecting colorectal cancer at an early stage, especially for detecting adenomas, which are its precursor.
Physicians face the challenge of detecting, differentiating and documenting any lesions (in particular small polyps, flat neoplasms, bleeds, etc.) – often under time pressure. During the examination, physicians must rely solely on their prior knowledge and experience as they move the tip of the endoscope along intestinal walls one section at a time. They have no access to a 3D image of the intestine or pre-classification in real time. Their diagnosis is documented only after the examination has taken place.
Against this backdrop, the project consortium aims to provide physicians with a real-time support system in order to minimize diagnostic risks and reduce the time taken for the diagnosis.