Artificial intelligence (AI) has gained a lot of interest in the field of medical imaging within the last few years. Due to the aging of the population, the number of medical images taken from patients as well as the complexity of imaging analysis and associated data therein are increasing. Medical professionals spend more time for diagnostics leading to reduced time with patients and research.
In the AIDMEI project, the Research Unit of Medical Imaging, Physics and Technology from the University of Oulu, Oulu University Hospital and the University of Helsinki are developing a novel artificial intelligence-based workflow. This research opening has potential to revolutionize the radiological diagnostics process by training AI with a unique, existing annotated imaging data archived at the Oulu University Hospital.
AIDMEI targets two clinically relevant use cases where AI based methodologies are being developed for MRI diagnostics of prolonged back pain and mammography diagnostics of breast cancer. AI is used to improve reconstructed image quality for presentation, and for extracting important quantitative features from medical images for automated diagnosis.
As an outcome of this project, intelligent algorithms will assist in time constraints, increasing workload, and other limitations pertaining to human driven diagnostics. Artificial intelligence guided diagnostic workflow could lead to an accessible, more accurate, and affordable healthcare for everyone.
In addition to professor Miika Nieminen, professors Simo Saarakkala, Osmo Tervonen, Jaro Karppinen and Jarmo Reponen from the University of Oulu, and professor Samuli Siltanen from the Department of Mathematics and Statistics, the University of Helsinki, participate in the project.
University of Oulu
Research Unit of Medical Imaging, Physics and Technology
Last updated: 16.10.2018