Results of the PANDA challenge published in Nature Medicine
After two years of hard work, the final results of PANDA Challenge on AI for prostate cancer grading are published!
News
New publication on Deep Learning for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography
The latest work by Natália Alves, titled “Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography”, has been published in Cancers' special issue on Pancreatic Cancer: Pathogenesis, Early Diagnosis, and Management for Improved Survival.
ERC Starting Grant for Geert Litjens
The European Research Council awarded Geert Litjens with a grant for his project "AIS-CaP: Interpretable Artificial Intelligence across Scales for Next-Generation Cancer Prognostics".
KWF grant for research on accurate malignancy risk estimation of pulmonary nodules using AI
The Dutch Cancer Society awarded Colin Jacobs with a grant for his research project entitled "AMARA: Accurate MAlignancy Risk estimation of incidentally and screen-detected pulmonary nodules using Artificial intelligence".
New publication on Trustworthy AI in Progress in Retinal and Eye Research
The latest work by Cristina González-Gonzalo, titled “Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice”, has been accepted for publication in Progress in Retinal and Eye Research (ranked #1 in Ophthalmology).
DKF Kolff+ Success Accelerator Grant for improved kidney transplant diagnostics using AI
The DKF awarded the grant to CPG’s Meyke Hermsen, Dominique van Midden, and Jeroen van der Laak for their proposal to use AI for improved histopathologic kidney biopsy assessment.
Francesco Ciompi and Chella van der Post receive Hanarth Foundation grant to improve detection of diffuse gastric cancer
Francesco Ciompi and Chella van der Post have been awarded 400,000 euros for the execution of their project aimed to develop AI solutions for improving DGC diagnostics.
KWF consortium grant for research on personalized lung cancer screening
In this project, we aim to maximize lung cancer screening efficiency by developing prediction models to 1) optimize screenee selection, and 2) limit unnecessary nodule work-up.
Third edition AI for Health course
Applications for The third edition of the AI for Health course, starting on the 11th of February 2022 are now open. Please apply before the 17th of December to join the course. The AI for Health program aims to advance AI innovations in healthcare, by providing an AI course for …
AI algorithms from high-profile competition reach performance close to radiologists for estimating lung cancer risk on CT
Colin Jacobs and team compared AI algorithms from public competition with a panel of 11 radiologists. This work appeared in Radiology: Artificial Intelligence.