Multiple studies have already demonstrated the effectiveness of electronic health record data in building Type 2 Diabetes Mellitus screening and prediction models. Through collaboration with family medicine physicians, nurse practitioners, patients, and computer science experts, the team at the University of Maribor aims to bring the T2DM prediction models closer to healthcare experts.
This presentation will illustrate different stages of development and deployment of such models in Slovenian primary healthcare. Gregor Štiglic will also present the current advancements in the field of generative AI models and their role in enhancing the explainability of prediction models and shortening the documentation process required in preventive healthcare.
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Presenter
Gregor Štiglic
Gregor Štiglic is a Professor and Head of the Research Institute at the University of Maribor Faculty of Health Science. Since 2014, he has served as Vice Dean for Research at the same faculty, coordinating the research efforts of numerous research groups. He led and worked on numerous research projects in digital healthcare and the application of advanced artificial intelligence methods in various healthcare fields since 2003. As a visiting researcher, he conducted research at the Center for Data Analysis and Biomedical Analytics (Temple University, 2012), Stanford Center for Biomedical Research (Stanford University, 2013) and the Usher Institute (University of Edinburgh, 2019).