Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification.
Journal:
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Published Date:
Jul 28, 2025
Abstract
INTRODUCTION: Deep learning (DL) models have achieved remarkable performance in musculoskeletal (MSK) medical imaging research, yet their clinical integration remains hindered by their black-box nature and the absence of reliable confidence measures. Uncertainty quantification (UQ) seeks to bridge this gap by providing each DL prediction with a calibrated estimate of uncertainty, thereby fostering clinician trust and safer deployment.
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