Anton Schreuder successfully defended his PhD thesis titled 'Lung cancer screening: use the scan to decide who to scan when' on the 6th of April and was awarded the PhD doctorate cum laude.
Anton Schreuder will defend his PhD thesis with the title 'Lung cancer screening: use the scan to decide who to scan when' on the 6th of April at 12.30.
The Academic Alliance Fund of Radboudumc and Maastricht UMC+ awarded Geert Litjens, Daan Geijs, Avital Amir, Lisa Hillen, Veronique Winnepenninckx and Nicole Kelleners a grant of 100,000 euros for their project proposal entitled: ‘Mohs chirurgy supported by artificial intelligence; better, faster, cheaper’.
PANCAIM builds on four key concepts of AI in Healthcare: clinical expertise and high amounts of carefully documented data, AI experts, and MedTech companies to collect the data and bring AI to healthcare.
Friday, February 12, 2021, the second edition of the AI for Health course concluded with a meeting where all participants presented the results of their AI projects. The course was followed by about 25 RadboudUMC employees from various backgrounds, offering them a deep dive into the possibilities of AI in …
The Innovative Medicine Initiative has awarded a 70 MEuro project to build the largest integrated database of digitized histopathologic slides and AI algorithms in the world.
Sarah van Riel successfully defended her PhD thesis titled 'Malignancy risk estimation of screen-detected pulmonary nodules: validation of current management recommendations' on the 9th of December.
Midas Meijs successfully defended his PhD thesis titled 'Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA' on the 26th of November.
Sarah van Riel will defend her PhD thesis with the title 'Malignancy risk estimation of screen-detected pulmonary nodules: validation of current management recommendations' on 9th of December at 13.30.
Midas Meijs will defend his PhD thesis with the title, "Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA" on 26th of November at 15.30.