Interreg has awarded a new Artificial Intelligence project (DAME) worth 1.1 million euros, to Peter van Ooijen from the UMCG Center for Medical Imaging (CMI). Within the DAME (Deep Learning Algorithms for Medical image Evaluation) project, software algorithms are developed for detecting deviations in medical images using machine learning. In addition to the UMCG (CMI and the department of Radiation Oncology), the DAME consortium consists of the Dutch SME COSMONiO and the German partners Use-Lab GmbH, Pius-Hospital Oldenburg and Radiology West Münsterland.
The purpose of DAME is to develop a software solution that automatically detects deviations (such as tumors) in medical images by using deep-learning technologies. The major advantage of this innovation is that a generic algorithm will be able to recognize medical abnormalities across different imaging modalities (CT, MRI, etc.). In this way, it is not only possible to quickly identify healthy people, but also to detect deviations that were not specifically sought, such as a second tumor in another location that did not cause any complaints. Furthermore, identified image features can be used to predict treatment outcome and risk of complications in cancer patients treated with radiotherapy. DAME is expected to improve and accelerate medical diagnosis and treatment, while reducing costs for both the patient and the hospitals.