Professor Chen is the head of the Digital Cancer Screening Research Group at University of Nottingham. She has led the development of PERFORMS for breast screening readers which is fully embedded within the UK’s National Breast Screening Programme. Due to its success, her research has been extended in the UK lung cancer screening programme (PERFECTS) which is the first assessment and training platform that aims to ensure appropriate interpretation of lung CT scans in order for radiologists to benefit patient outcome and streamline clinician workload. Her research interests are in medical imaging, covering cancer screening, early cancer detection, and diagnostic accuracy in CT, breast mammography and tomosynthesis. Her research interests span medical imaging, with a focus on cancer screening, early detection, and diagnostic precision across modalities such as CT, breast mammography, and tomosynthesis. She is particularly intrigued by the quality assurance of healthcare professionals and the utilisation of Artificial Intelligence (AI) programs for medical image interpretation. Furthermore, she explores the integration of eye tracking technology and the development of AI applications to facilitate healthcare professional training. Professor Chen also dedicates efforts to AI evaluation and benchmarking, ensuring the safe implementation of AI in clinical settings, with a specific emphasis on cancer detection within screening programs.