Uncertainty quantification integrates methods that measure the confidence of deep learning predictions in medical imaging, addressing both intrinsic data noise and model limitations. In clinical ...

Uncertainty quantification (UQ) encompasses the systematic characterisation and propagation of uncertainties in computational models to assess the credibility of simulation predictions. It addresses ...

Reported June 23 in Nature Biomedical Engineering, researchers at Vanderbilt Health and centers in Hong Kong have created a versatile uncertainty-aware AI framework broadly adaptable as a wrapper for ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...