The overall aim of AI-RAPTOR is to develop, train and validate an AI algorithm that can detect potentially malignant pulmonary findings on low-dose CT scans and thus aid clinicians in the diagnostic process.
The project aims to develop AI algorithms based on Natural Language Processing to identify previous incidents of venous thromboembolism in patients’ electronic health records for thrombosis risk assessment.
The purpose of the PEACE project is to improve diagnostics of cervical cancer with artificial intelligence.
This experimental phantom study aims to assess the effect of DLIR in combination with MAR and Dual energy CT.
It is our ambition and expectation that the joined effort of clinical staff, researchers and engineers at CAI-X will have a major impact on both research breakthroughs and the daily clinical practice for the benefit of both patients and staff.
View our projects
10th November 2023
Thursday 9 November, CAI-X held two sessions at this year's WHINN (Week of Health and Innovation) entitled "Will AI deliver what it promises?" and "Ethical perspectives on clinical AI".
25th September 2023
At the meeting, you can get inspiration from companies that are all developing clinical artificial intelligence and participate in an exchange of experiences with colleagues from the IT industry.
28th June 2023
CAI-X will be attending with two sessions on clinical AI at this year's WHINN - Week of Health and Innovation, which takes place in Odense on 8-9 November 2023.
