Computational Radiology & Artificial Intelligence (CRAI) Research Group

Group leaderAtle Bjørnerud
Group leader
Atle Bjørnerud

Artificial Intelligence (AI) is an emerging technology for performing fast and unsupervised analysis of radiological data – with the overall aim of reducing radiologist workload, improving diagnostic performance and thereby patient care. The CRAI group at Oslo University Hospital was established in 2019 in response to the ongoing AI-driven paradigm-shift in diagnostic imaging. CRAI will act as a research hub within the Division of Radiology and Nuclear Medicine, with research group members spanning a wide range disciplines and research areas but with a common interest in using AI and other advanced computational tools as an integral part of their research.  

Aims
The main aim of this group is to gather active researchers, PhD students and other research-interested colleagues from the Division of Radiology and Nuclear Medicine at Oslo University Hospital, as well from other institutions in our region, interested in using machine learning techniques for analysing radiological data. CRAI will aim to establish the necessary IT infrastructure for efficient use of AI in radiology research. The group organises lectures on relevant topics in machine learning and will participate in testing of potential AI-solutions for use in radiological practice.

Research projects

Members of the CRAI unit are involved in a variety of AI-related projects, including deep learning based disease segmentation and characterization, integration of AI-based methods in the clinico-radiological workflow, tumour detection (e.g. in mammography screening), disease progression prediction (oncology and neurodegenerative diseases)  and use of AI to develop ‘smart’ imaging protocols. 

Contact information:

Group leader: Professor Atle Bjørnerud; atlebjo@fys.uio.no; 97539799.
Visiting address/postal address: Oslo University Hospital, Gaustad campus, building 16 ("Kindergarten"), Oslo.