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This keynote was presented at the Women in Data Science Maastricht 2022. The conference aims at training data scientists and inspiring more women to contribute to the field. Due to COVID-19 measures, the event was held online. Abstract: How can we apply technology to improve healthcare? What is the best approach to deal with all digital data from healthcare that we obtain every day? What can we learn from that data? These and many more questions are inspiring researchers and engineers worldwide. Remarkable advancements are made in data analysis for healthcare, making medical diagnosis and interventions more objective, safe and efficient. Yet, despite the growing amounts of data and AI technologies, there are still challenges. In this keynote talk we will consider examples of them: content and context in data, explainability of AI outcomes, and future developments.. Bio: Dr. Sveta Zinger received her MSc in computer science in 2000 from the Radiophysics faculty of the Dnepropetrovsk State University, Ukraine. In 2004, she received a PhD from the Ecole Nationale Supérieure des Télécommunications Paris, France, for her thesis on interpolation and resampling of 3D data. Sveta held several postdoc positions in France and the Netherlands in the area of digital image understanding and content based image retrieval. Currently Sveta is an Associate Professor in the Eindhoven University of Technology. Her research concerns digital image analysis in healthcare. Sveta published 180 papers in her research domain. In 2020 she established a new Elsevier journal “Computer Methods and Programs in Biomedicine Update '' in which she is currently an editor-in-chief. This event was kindly sponsored by: Institute of Data Science at Maastricht University https://www.maastrichtuniversity.nl/r... CompuTD https://computd.nl/