Start: September 2022
End: August 2026
Colon capsule endoscopy (CCE) is a new technology, which has the potential to replace 50-65% of all OCs. CCE is preferred by patients, has a lower complication rate and can be performed out of hospital. CCE holds great potential for both patients and hospitals. However, the diagnostic process of CCE includes a time-consuming manual reading done by trained personnel and is expensive and prone to human error.
The goal of the project is to create a complete and validated AI-assisted pathway that improves CCE diagnostics making the technology clinically viable for the good of patients, health care systems and society.
The AICE concept will focus on:
- completing development of the required AI algorithms
- external validation of the algorithms
- creating a clinical support system for data handling, storage and transmission
- developing a diagnostic pathway that considers quality, efficiency, patient preferences, ethics and economy
- promoting the integration of AICE solutions into clinical practice via guidelines and upscaling adjustments.
To achieve these goals, AICE will use an unprecedented large and diverse collection of existing patient data from nationwide clinical studies, and will include extensive initiatives in the fields of ethics, communication and patient engagement.
- Department of Surgery, OUH Svendborg
- The Maersk Mc-Kinney Moller Institute, SDU
- Stratos AI
- Lund University
- University of Barcelona
- National and Kapodistrian University of Athens
- The Arctic University of Norway
- Umeå University
- Highland Health Board
- University of Strathclyde
- University of Edinburgh
The project is funded by Horizon Europe.
The project is part of the Centre for Clinical Implementation of Capsule Endoscopy, CICA.
Read an article about the project in Danish magazine Dagens Medicin (in Danish only).