Maastricht University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.798 Zit.
Calibration: the Achilles heel of predictive analytics
On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben Van Calster, David J. McLernon et al.
2019 · 1.744 Zit.
Machine Learning methods for Quantitative Radiomic Biomarkers
Chintan Parmar, Patrick Großmann, Johan Bussink et al.
2015 · 1.008 Zit.
Transparency and reproducibility in artificial intelligence
Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.
2020 · 487 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 462 Zit.
Transparency of deep neural networks for medical image analysis: A review of interpretability methods
Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee et al.
2021 · 462 Zit.
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
Chintan Parmar, Patrick Großmann, D. Rietveld et al.
2015 · 406 Zit.
Artificial intelligence for clinical oncology
Benjamin H. Kann, Ahmed Hosny, Hugo J.W.L. Aerts
2021 · 344 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 287 Zit.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 284 Zit.
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
Abdalla Ibrahim, Sergey Primakov, Manon Beuque et al.
2020 · 258 Zit.
The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review
Golnar Karimian, Elena Petelos, Silvia Evers
2022 · 255 Zit.
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.
2024 · 255 Zit.
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods
Shruti Atul Mali, Abdalla Ibrahim, Henry C. Woodruff et al.
2021 · 186 Zit.
Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial
F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.
2022 · 165 Zit.