Related Experiment Video
Updated: Mar 15, 2026
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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
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Decoding Uncertainty Quantification for Oncology-An Illustration Using Radiomics
Florian van Daalen1, Balu Krishna Sasidharan2, C Praveenraj2
1Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, 6211 LK Maastricht, The Netherlands.
Diagnostics (Basel, Switzerland)
|March 14, 2026
Summary
This study introduces uncertainty quantification (UQ) for artificial intelligence (AI) models in oncology. UQ helps clinicians understand AI prediction reliability, improving diagnostic confidence for radiologists and oncologists.
Area of Science:
- Oncology
- Artificial Intelligence
- Medical Imaging
Background:
- Artificial intelligence (AI) models in oncology often prioritize accuracy over certainty communication.
- Lack of certainty assessment in AI predictions hinders clinical decision-making for oncologists and radiologists.
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