CAI-X

AI project

AI and SWE in Liver disease

Full title: AI and Shear Wave Elastography in chronic fatty liver disease

Aim

In this project, we have developed a machine-learning algorithm, with the ability to improve the diagnostic accuracy of SWE pictures in patients with chronic fatty liver disease. Specifically a convolutional neural network. In our second project, we take a step further and seek to improve the prognostic power of SWE pictures in chronic fatty liver disease patients. The aim is to add a layer of prognostication to SWE pictures – by giving the clinician a tool to foresee liver-related events.

Participants

FLASH – Center for Liver Research, OUH

Professor Thiusius Rajeeth Savarimuthu, SDU Robotics, The Maersk Mc-Kinney Moller Institute, Faculty of Engineering, SDU

Project period

Start: May 2019

End: Ongoing

Funding

The project is funded by FLASH – Center for Liver Research, OUH.

Contact

Katrine Prier Lindvig headshot

Katrine Prier Lindvig

PhD student, MD

FLASH – Center for Liver Research

(+45) 28 83 87 54
[email protected]