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Radiology
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December 23, 2025
Three-Class Thinking for Pure Ground-Glass Nodules: From Size to Structure
Yuki Arita, Steven Schalekamp
Radiology
|
May 19, 2026
Benchmarking of AI Software in Chest Radiography: Opportunities and Challenges
Cornelia Schaefer-Prokop, Steven Schalekamp
Pediatric Radiology
|
September 2, 2021
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
Steven 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 products
Kicky G van Leeuwen, Dennis M Hedderich, Hugh Harvey, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 10, 2015
Influence of study design in receiver operating characteristics studies: sequential versus independent reading
Steven Schalekamp, Bram van Ginneken, Cornelia M Schaefer-Prokop, et al.
Plos One
|
July 28, 2022
Explainable emphysema detection on chest radiographs with deep learning
Erdi Çallı, Keelin Murphy, Ernst T Scholten, et al.
European Radiology
|
May 7, 2026
Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence
Noa 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 detection
Sander E Temmen, Marinus J Becks, Steven Schalekamp, et al.
European Radiology
|
April 15, 2021
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
Kicky 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 2022
Kicky G van Leeuwen, Maarten de Rooij, Steven Schalekamp, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
Radiology
|
December 23, 2025
Three-Class Thinking for Pure Ground-Glass Nodules: From Size to Structure
Yuki Arita, Steven Schalekamp
Radiology
|
May 19, 2026
Benchmarking of AI Software in Chest Radiography: Opportunities and Challenges
Cornelia Schaefer-Prokop, Steven Schalekamp
Pediatric Radiology
|
September 2, 2021
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
Steven 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 products
Kicky G van Leeuwen, Dennis M Hedderich, Hugh Harvey, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
July 10, 2015
Influence of study design in receiver operating characteristics studies: sequential versus independent reading
Steven Schalekamp, Bram van Ginneken, Cornelia M Schaefer-Prokop, et al.
Plos One
|
July 28, 2022
Explainable emphysema detection on chest radiographs with deep learning
Erdi Çallı, Keelin Murphy, Ernst T Scholten, et al.
European Radiology
|
May 7, 2026
Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence
Noa 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 detection
Sander E Temmen, Marinus J Becks, Steven Schalekamp, et al.
European Radiology
|
April 15, 2021
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
Kicky 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 2022
Kicky G van Leeuwen, Maarten de Rooij, Steven Schalekamp, et al.
Page
of 3