Rianne Fijten
Maastro Clinic · NL
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
2024 · 9 Zit. · JCO Clinical Cancer Informatics
Automatic quality assurance of radiotherapy treatment plans using Bayesian networks: A multi-institutional study
2023 · 7 Zit. · Frontiers in Oncology
External Validation of a Bayesian Network for Error Detection in Radiotherapy Plans
2021 · 7 Zit. · IEEE Transactions on Radiation and Plasma Medical Sciences
The Epistemic Cost of Opacity: How the Use of Artificial Intelligence Undermines the Knowledge of Medical Doctors in High-Stakes Contexts
2025 · 6 Zit. · Philosophy & Technology
304: A research-based implementation strategy for AI in radiotherapy: can implementation science help?
2024 · 0 Zit. · Radiotherapy and Oncology
The Epistemic Cost of Opacity: Why Medical Doctors Do Not Know when They Rely on Artificial Intelligence
2025 · 0 Zit.
The Epistemic Cost of Opacity: Why Medical Doctors Do Not Know when They Rely on Artificial Intelligence
2023 · 0 Zit.
Prognostic modeling in head and neck cancer: deep learning or handcrafted radiomics?
2025 · 0 Zit. · BJR|Artificial Intelligence
Patients' Attitudes Towards the Use of AI-Based Decision Aids for Breast Cancer Treatment Decision-Making: A Qualitative Study
2023 · 0 Zit.
1782: Patients' perspectives on AI and decision making in cancer care
2024 · 0 Zit. · Radiotherapy and Oncology
Decoding Uncertainty Quantification for Oncology—An Illustration Using Radiomics
2026 · 0 Zit. · Diagnostics
OC-0594 Patients' attitudes on the use of AI-based decision aid: A qualitative study
2023 · 0 Zit. · Radiotherapy and Oncology
Understanding Clinicians’ Informational Needs for AI-driven Clinical Decision Support Systems: Qualitative Interview Study (Preprint)
2025 · 0 Zit.
MO-0308 AI-based radiotherapy treatment planning quality assurance: A multi-institutional study
2023 · 0 Zit. · Radiotherapy and Oncology
Understanding clinicians’ informational needs for AI-driven clinical decision support systems: Qualitative interview study (Preprint)
2025 · 0 Zit. · JMIR Medical Education