CAI-X

AI Projects

CAI-X is the framework surrounding the many projects with clinical AI at OUH and SDU

Artificial Intelligence (AI) can be useful for a wide range of problems in the various medical specialities. Here you will find projects from Odense University Hospital (OUH) and the University of Southern Denmark (SDU) applying clinical AI in one form or another. 

Use the boxes below to filter the projects by medical speciality or use the search function to find your area of interest.

MERIS

The aim of the project is to test an algorithm to make the screening process for medication reviews more ...

Project “Hjertero” (Peace of Heart)

The aim is to develop a data-driven prediction model capable of identifying individuals with Ischemic Heart Disease at risk of ...

Detection and presentation of bleeding events in the electronic health record

The project aims to aid clinical decision making using artificial intelligence (AI) to find critical information in electronic health records. ...

Non-invasive detection, monitoring and prediction of epileptic seizures

Epileptic seizures are a symptom of a variety of different brain diseases and are associated with substantial a burden for ...

AI in picture analysis (CICA)

The project will develop algorithms for automated analyses of capsule investigations in the project CICA. ...

RELIP

The RELIP project will develop an algorithm to use existing information in the patient record to identify problematic intake of ...

PATINA

The aim is to test and validate the effect of a sentinel algorithm applied on health care data for early ...

MAS-AI

The project aims to develop a model to assess the value of AI-technologies in the field of medical imaging. The ...

LiverTrail

This PhD project will develop and validate a decision aid for use in primary health care to assess the risk ...

AI and SWE in Liver disease

In this project, we have developed a machine-learning algorithm, with the ability to improve the diagnostic accuracy of SWE pictures ...

MAGIC – Artificial Intelligence for Breast Cancer Diagnostics

The project will develop and test AI for mammography screenings to enable faster and more accurate diagnostics and thereby faster ...

Early detection and monitoring of diabetes and complications

The aim is to develop and apply AI methods on patients’ videos to disclose small external body functions and identify ...

Identifying patients at risk (PDWS)

The project develops tools and predictive models to reduce the number of unforeseen deteriorations of patients in medical emergency departments. ...

FAST-MRI

The FAST-MRI project aims to investigate accuracy, workload changes and time-to-diagnosis when implementing an artificial intelligence (AI) system for stroke ...

Screening of diabetic retinopathy

The project develops a software system that utilises deep-learning by FCN in order to perform automatic grading of retinal images ...

Automatic audiogram classification

The project uses AI to develop an automated classification of audio tests ...

AI for prediction of cancer progression

The project uses machine learning to analyse big data from a previous medical history including diagnosis codes, biochemical laboratory results ...

AutoDok

The aim is to develop algorithms to automate selection, generation and registration of vital parameters from patient monitors to the ...

AI for rheumatoid arthritis

The project has developed a robot system for early detection and monitoring of rheumatoid arthritis (RA). ...

Assessment of prostate cancer

The project will use artificial intelligence to compare scanned, digital images with the patient’s pathway and thereby develop an algorithm ...

Screening of lymph nodes for metastasis

The project wants to use AI to screenlymph nodes for metastasis to support decision making. The developed algorithm is to ...

Machine learning algorithms for prediction of cancer​

This project focuses on developing computerized tools to identify significant displacements in patterns of health data so the general practitioners ...