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Pediatric Radiology|September 2, 2021
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspectiveSteven Schalekamp, Willemijn M Klein, Kicky G van Leeuwen
Insights Into Imaging|February 17, 2024
How AI should be used in radiology: assessing ambiguity and completeness of intended use statements of commercial AI productsKicky G van Leeuwen, Dennis M Hedderich, Hugh Harvey, et al.
Medical Image Analysis|June 25, 2021
Deep learning for chest X-ray analysis: A surveyErdi Çallı, Ecem Sogancioglu, Bram van Ginneken, et al.
European Radiology|May 7, 2026
Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidenceNoa Antonissen, Steven Schalekamp, Horst K Hahn, et al.
Scientific Reports|August 2, 2023
Duration and accuracy of automated stroke CT workflow with AI-supported intracranial large vessel occlusion detectionSander E Temmen, Marinus J Becks, Steven Schalekamp, et al.
European Radiology|July 24, 2025
Artificial intelligence in radiology: 173 commercially available products and their scientific evidenceNoa Antonissen, Olga Tryfonos, Ignas B Houben, et al.
Diagnostics (Basel, Switzerland)|June 2, 2021
Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative ReviewJasper J Twilt, Kicky G van Leeuwen, Henkjan J Huisman, et al.
European Radiology|April 15, 2021
Artificial intelligence in radiology: 100 commercially available products and their scientific evidenceKicky G van Leeuwen, Steven Schalekamp, Matthieu J C M Rutten, et al.
European Radiology|July 29, 2023
Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022Kicky G van Leeuwen, Maarten de Rooij, Steven Schalekamp, et al.
Pediatric Radiology|June 12, 2021
How does artificial intelligence in radiology improve efficiency and health outcomes?Kicky G van Leeuwen, Maarten de Rooij, Steven Schalekamp, et al.
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