Dr Özkan Elsen’s research focuses on computational models that integrate medical images, clinical data, and additional modalities such as physiological signals to support clinicians in the diagnosis and management of paediatric diseases. Specifically, she aims to tackle the main challenges affecting the performance of machine learning models, including data scarcity, variability across datasets from different sources and algorithmic bias. By integrating multi-modal datasets and drawing inspiration from human behaviour, she will develop interpretable artificial intelligence-driven healthcare solutions that will contribute to advance precision medicine for children and adolescents.
Further details about Dr Özkan Elsen’s research interests can be found here.
