Radboud Institute for Molecular Life Sciences
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deep learning in histopathology: the path to the clinic
Jeroen van der Laak, Geert Litjens, Francesco Ciompi
2021 · 842 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.
2022 · 458 Zit.
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten et al.
2021 · 411 Zit.
How does artificial intelligence in radiology improve efficiency and health outcomes?
Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp et al.
2021 · 220 Zit.
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga et al.
2020 · 150 Zit.
Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use
Thomas P. A. Debray, Richard D Riley, Maroeska M. Rovers et al.
2015 · 125 Zit.
Data Sharing Under the General Data Protection Regulation
Antonia Vlahou, Dara Hallinan, Rolf Apweiler et al.
2021 · 124 Zit.
Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications
Daan Schouten, Giulia Nicoletti, Bas Dille et al.
2025 · 55 Zit.
The emperor has few clothes: a realistic appraisal of current AI in radiology
Merel Huisman, Bram van Ginneken, Hugh Harvey
2024 · 16 Zit.
Artificial intelligence in radiology: 173 commercially available products and their scientific evidence
Noa J.C. Antonissen, Olga Tryfonos, Ignas B. Houben et al.
2025 · 15 Zit.
Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload
Steven Schalekamp, Kicky G. van Leeuwen, Erdi Çallı et al.
2024 · 14 Zit.
Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies
Shoko Vos, Konnie M. Hebeda, Megan Milota et al.
2024 · 14 Zit.
The AI Generalization Gap: One Size Does Not Fit All
Merel Huisman, Gerjon Hannink
2023 · 13 Zit.
Deep learning for tibial plateau fracture detection and classification
Nynke van der Gaast, Prachi Bagave, Nick Assink et al.
2025 · 12 Zit.
Challenges in conducting clinical research in primary care dentistry
Bas Loomans, Fausto Medeiros Mendes, Shankeeth Vinayahalingam et al.
2024 · 8 Zit.