Lorena Escudero Sanchez Institute: University of Cambridge Date: October 10, 2024 Title: AI applications in ovarian cancer computed tomography Abstract: Imaging is one of the main pillars of clinical protocols for cancer care that provides essential non-invasive biomarkers for detection, diagnosis and response assessment. The development of Artificial Intelligence (AI) tools have proven potential to transform the analysis of radiological images, by significantly reducing processing time, by increasing the reproducibility of measurements and by improving the sensitivity of tumour detection compared to the standard visual interpretation, leading to cancer early detection. In this talk, I will discuss the studies that we have carried out in our Radiogenomics and Quantitative Image Analysis group to develop Deep Learning-based and Machine Learning-based tools, and to incorporate them into the clinical research setting.
