Explanipedia

Vendors’ perspectives on AI implementation in medical imaging and oncology: a cross-sectional survey Open

Nikolaos Stogiannos, Emily Skelton, Kicky G. van Leeuwen, S. Edgington, Susan C. Shelmerdine , et al. · 2025

Objectives To explore the perspectives of AI vendors on the integration of AI in medical imaging and oncology clinical practice. Materials and methods An online survey was created on Qualtrics, comprising 23 closed and 5 open-ended questio…

Artificial intelligence in radiology: 173 commercially available products and their scientific evidence Open

Noa J.C. Antonissen, Olga Tryfonos, Ignas B. Houben, Colin Jacobs, Maarten de Rooij , et al. · 2025

Objectives To assess changes in peer-reviewed evidence on commercially available radiological artificial intelligence (AI) products from 2020 to 2023, as a follow-up to a 2020 review of 100 products. Materials and methods A literature revi…

Recognising errors in AI implementation in radiology: A narrative review Open

Nikolaos Stogiannos, Renato Cuocolo, Tugba Akinci D’Antonoli, Daniel Santos, Hugh Harvey , et al. · 2025

The AI Act: responsibilities and obligations for healthcare professionals and organizations Open

Kicky G. van Leeuwen, Leon Doorn, Erik Gelderblom · 2025

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders Open

Nikolaos Stogiannos, Caitlin Gillan, Helle Precht, Cláudia Sà dos Reis, Amrita Kumar , et al. · 2024

Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload Open

Steven Schalekamp, Kicky G. van Leeuwen, Erdi Çallı, Keelin Murphy, Matthieu Rutten , et al. · 2024

How AI should be used in radiology: assessing ambiguity and completeness of intended use statements of commercial AI products Open

Kicky G. van Leeuwen, Dennis M. Hedderich, Hugh Harvey, Steven Schalekamp · 2024

Duration and accuracy of automated stroke CT workflow with AI-supported intracranial large vessel occlusion detection Open

Sander E. Temmen, Marinus J. Becks, Steven Schalekamp, Kicky G. van Leeuwen, Frederick J. A. Meijer · 2023

AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation Open

Kicky G. van Leeuwen, Marinus J. Becks, D. Grob, Frank de Lange, Joost HW Rutten , et al. · 2023

Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022 Open

Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, Matthieu Rutten · 2023

Objectives To map the clinical use of CE-marked artificial intelligence (AI)–based software in radiology departments in the Netherlands ( n = 69) between 2020 and 2022. Materials and methods Our AI network (one radiologist or AI representa…

Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment Open

Kicky G. van Leeuwen, Frederick J. A. Meijer, Steven Schalekamp, Matthieu Rutten, Ewoud J. van Dijk , et al. · 2021

Background Limited evidence is available on the clinical impact of artificial intelligence (AI) in radiology. Early health technology assessment (HTA) is a methodology to assess the potential value of an innovation at an early stage. We us…

Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective Open

Steven Schalekamp, Willemijn M. Klein, Kicky G. van Leeuwen · 2021

How does artificial intelligence in radiology improve efficiency and health outcomes? Open

Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp, Bram van Ginneken, Matthieu Rutten · 2021

Deep learning for chest X-ray analysis: A survey Open

Erdi Çallı, Ecem Sogancioglu, Bram van Ginneken, Kicky G. van Leeuwen, Keelin Murphy · 2021

Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review Open

Jasper J. Twilt, Kicky G. van Leeuwen, Henkjan Huisman, Jurgen J. Fütterer, Maarten de Rooij · 2021

Due to the upfront role of magnetic resonance imaging (MRI) for prostate cancer (PCa) diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid in the diagnosis and detection of PCa. In this review, we …

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence Open

Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten, Bram van Ginneken, Maarten de Rooij · 2021

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence Open

Nikolas Leßmann, Clara I. Sá‎nchez, Ludo F.M. Beenen, Luuk Boulogne, Monique Brink , et al. · 2020

Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest infections suspected to be caused by COVID-19 using chest CT may…

CNN-Based Phoneme Classifier from Vocal Tract MRI Learns Embedding Consistent with Articulatory Topology Open

Kicky G. van Leeuwen, Paula Bos, Stefano Trebeschi, Maarten J. A. van Alphen, Luuk Voskuilen , et al. · 2019

Recent advances in real-time magnetic resonance imaging (rtMRI) of the vocal tract provides opportunities for studying human speech. This modality together with acquired speech may enable the mapping of articulatory configurations to acous…

Detecting abnormal electroencephalograms using deep convolutional networks Open

Kicky G. van Leeuwen, Haoqi Sun, Mohammad Tabaeizadeh, Aaron F. Struck, Michel J. A. M. van Putten , et al. · 2018

Brain age from the electroencephalogram of sleep Open

Haoqi Sun, Luis Paixão, Jefferson Tales Oliva, Balaji Goparaju, Diego Z. Carvalho , et al. · 2018

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