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.
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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.
Who should be paying - and how much - for AI in healthcare?
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 receives VIDI grant to build an AI bridge between pathology and radiology
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.
Study on End-to-end Automated 3D Prostate Cancer Detection in MRI published in Medical Image Analysis
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.
Study on adversarial attack vulnerability of medical image analysis systems published in Medical Image Analysis
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.
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'.
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.