Bridging the gap between physicians and technical experts. Artificial Intelligence (AI) is increasingly present in our society and also has more and more applications in the medical world. Throughout two dynamic and engaging days, we will highlight …
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Processing of personal data Ghent University endeavors all necessary actions in order to protect and respect your privacy. You can read more about this in Ghent University's privacy statement . If you can't find the answer to your questions in our …
Steering Committee The steering committee of HINT.GENT consists of members from the Faculty of Medicine and Health Sciences at Ghent University and Ghent University Hospital. This committee is responsible for translating the mission of HINT.GENT into a …
On November 19, 2024, the question "How will artificial intelligence (AI) impact the patient-physician relationship?" took center stage during an engaging debate organized by Metamedica and the Ghent Health Academy for Lifelong Learning (GHALL). This …
Are you ready to unleash your creativity and tackle real-world challenges? Join the HINT.GENT Innovation Sprint , where brainstorming meets innovation! The innovation sprint aims to generate practical and impactful ideas for developing AI-driven tools …
It’s finally here: the long-awaited book Medicine in the Age of AI has been released! Written by two prominent members of HINT.GENT, Prof. Wim Van Biesen and Prof. Sigrid Sterckx, this book offers an in-depth look at the impact of artificial intelligence …
On February 27th, 2025, healthcare professionals gathered for the first Pulse Session of HINT.GENT, an event that promised to revolutionize the way we approach healthcare administration and clinical workflows. Led by Dr. François Remy from Biomedical AI …
We’re happy to announce that the paper, Debiasing Synthetic Data Generated by Deep Generative Models , conducted as part of the SYNDARA project, has been accepted to NeurIPS 2024! This collaborative work by dr. Alexander Decruyenaere, dr. Heidelinde …
Join us for an insightful session where we delve into the complexities of handling sensitive patient data in the context of AI and medical device studies. Using real-world cases, including a 3D Renal Perfusion Model and a 3D Planning and Printing project …