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.
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.
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 …
Colin Jacobs and team compared AI algorithms from public competition with a panel of 11 radiologists. This work appeared in Radiology: Artificial Intelligence.
Cost-effectiveness studies may help answer that question. One of the first studies on this topic for AI has been published this week in Insights into Imaging.
Geert Litjens has been awarded a Vidi grant worth 800,000 euros by the Dutch Research Council. He will investigate AI solutions for prostate cancer by combining radiology and pathology images.
Anindo Saha and Matin Hosseinzadeh, led by Henkjan Huisman, investigate state-of-the-art practices across recent literature and harmonize their findings into an automated 3D detection/diagnosis model for clinically significant prostate cancer in MRI.
Cristina González Gonzalo (Radboudumc/UvA), Gerda Bortsova (Erasmus MC) and Suzanne Wetstein (TU Eindhoven) study previously unexplored factors affecting adversarial attack vulnerability of deep learning medical image analysis systems in three medical domains: ophthalmology, radiology, and pathology.
David Tellez succesfully defended his PhD thesis with the title 'Advancing computational pathology with deep learning: from patches to gigapixel image-level classification'.
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.