The burden of cancer can be reduced by prevention, early detection and appropriate treatment with innovative technologies playing a major role in the procedures. Most of the techniques, however, require trained clinical specialists for interpretation and diagnosis that can be an obstacle for implementation on a large scale. The ongoing artificial intelligence (AI) revolution has tackled previously unsolvable analytic tasks and enabled automatic data interpretation that could address this challenge.
Our research focuses on implementing optical imaging, radiology and molecular information in combination with AI to improve an early and accurate cancer diagnosis.
Publications
List of publications at Scopus
List of publications at Google Scholar
