PhD defense David Tellez
David Tellez succesfully defended his PhD thesis with the title 'Advancing computational pathology with deep learning: from patches to gigapixel image-level classification'.
News
Survey on Chest X-ray analysis published in Medical Image Analysis
Ecem Sogancioglu, Erdi Calli, and the team review all studies in deep-learning for chest X-ray images and discuss the state-of-the-art, datasets, commercial products, and clinical needs.
AI predicts lung cancer risk
Kiran Vaidhya Venkadesh and team developed an AI algorithm for predicting the malignancy risk of lung nodules. This work appeared in Radiology.
Lack of evidence in commercial AI tools for radiology becomes clear
European Radiology publishes a paper on the market landscape and scientific evidence of CE marked artificial intelligence products in radiology.
Review on Computational Pathology published in Nature Medicine
Jeroen van der Laak, Geert Litjens, and Francesco Ciompi discuss the way to the clinic for computation pathology algorithms.
AI tool to detect scaphoid fractures on wrist x-rays
Nils Hendrix developed an AI tool to detect scaphoid fractures on x-rays. Their work was published by the journal Radiology: Artificial Intelligence.
Successful PhD defense Anton Schreuder: cum laude!
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.
PhD defense Anton Schreuder
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.
Academic Alliance grant for development of Mohs surgery AI tool
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: A European consortium to improve pancreatic cancer treatment with artificial intelligence optimizing, integrating genomics and medical imaging
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.