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AICE Europe

Project impact

Development and validation of a New Patient Reported Experience Measure for CCE

AICE aims to revolutionise large bowel investigations by integrating AI algorithms

AICE aims to transition from optical colonoscopy to AI-supported CCE, providing faster and more accurate diagnoses, benefiting patients and healthcare systems

This 4-year, €6 million Horizon Europe programme includes NHS Highland, the University of Edinburgh, and the University of Strathclyde. It aims to replace up to 75% of optical colonoscopies with Camera Capsule Endoscopy (CCE), enhancing patient experience and hospital efficiency by using AI to streamline diagnostics and reduce errors.

This is a 4-year programme funded by Horizon Europe with an overall value of 6 million Euros. There are three Scottish Partners as part of the consortium; NHS Highland, University of Edinburgh and University of Strathclyde.

Millions of people across Europe undergo optical colonoscopy (OC) every year. OC is often associated with discomfort, complications, and sick days, which affect patient acceptability, and is a heavy burden on the capacity levels of European hospitals.

Camera Capsule Endoscopy (CCE) is a new innovative technology with the potential to replace up to 75% of all OCs. Importantly, CCE has been shown to be preferred by patients, has a lower complication rate, and can be performed out of the hospital. As such, this has huge 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. We aim to resolve these challenges by incorporating AI into the patient pathway and giving patients an alternative to OC.

Summary

This 4-year, €6 million Horizon Europe programme includes NHS Highland, the University of Edinburgh, and the University of Strathclyde. It aims to replace up to 75% of optical colonoscopies with Camera Capsule Endoscopy (CCE), enhancing patient experience and hospital efficiency by using AI to streamline diagnostics and reduce errors.

Partners

University of Strathclyde
Region of Southern Denmark
Odense University Hospital Svendborg Hospital
University of Southern Denmark
Sundhed.dk
Stratos AI
Lund University
NHS Highland
Universitat Autonoma de Barcelona
The University of Edinburgh
National and Kapodistrian University of Athens
UIT The Arctic University of Norway
UMEA University

The aim of AICE is to enable the application of a complete AI Image diagnostic pathway for large bowel investigations by validating Artificial Intelligence Algorithms (AIA) supported camera capsule endoscopy (CCE).

By adding artificial intelligence for image analysis and a new remote system for data capture handling and fast reporting, the objective is to eliminate the current medical, technical, and economic barriers to the transition from OC to CCE, hereby benefitting both patients and healthcare systems.

AICE builds on existing AI research algorithms developed in Denmark which will be validated and harnessed in NHS Highland as a regional test bed.

Impact & value

Image by Jacob Padilla

DHI are working alongside University of Strathclyde to support the delivery of work packages focused on design and development of a patient facing digital tools. The wider programme is on track to end in March 2026.

Funding from AICE will secure a Service Design Research associate within DHI to work in collaboration with UOS Research Team and Investigators over the duration of the project. In addition, in kind support from the Service Development Manager in DHI is being provided to support strategic alignment with the Scottish SCOTCAP Programme and scale up opportunities beyond this R&D phase.

Completion of work packages to support the wider programme.

Progress to date

Image by Jacob Padilla

Staff related to the project

Next steps

Image by Jacob Padilla
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