Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis.

Background: Explainable Artificial Intelligence (XAI) is prominent in the diagnostics of opaque deep learning (DL) models, especially in medical imaging. Saliency methods are commonly used, yet there's a lack of quantitative evidence regarding their performance.

Objectives: To quantitatively evaluate the performance of widely utilized saliency XAI methods in the task of breast cancer detection on mammograms.

Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study.

Background: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers remain somewhat inconsistent, particularly among less-experienced readers.

Objectives: To assess the feasibility of deep learning (DL) for the automated assessment of image quality in bi-parametric MRI scans and compare its performance to that of less-experienced readers.

Methods: We used bi-parametric prostate MRI scans from the PI-CAI dataset in this study.

Inter-reader agreement of the prostate imaging quality (PI-QUAL) score for basic readers in prostate MRI: A multi-center study.

Background: The Prostate Imaging Quality (PI-QUAL) score is the first step toward image quality assessment in multi-parametric prostate MRI (mpMRI). Previous studies have demonstrated moderate to excellent inter-rater agreement among expert readers; however, there is a need for studies to assess the inter-reader agreement of PI-QUAL scoring in basic prostate readers.

Objectives: To assess the inter-reader agreement of the PI-QUAL score amongst basic prostate readers on multi-center prostate mpMRI.

Subacute and Recurrent Transient Perivascular Inflammation of the Carotid Artery (TIPIC syndrome) and Supraclavicular Lymphadenopathy Associated with Ipsilateral Intramuscular m-RNA COVID-19 Vaccine.

We describe a case of recurrent transient perivascular inflammation of the carotid artery (TIPIC) syndrome and associated supraclavicular lymphadenopathy after ipsilateral intramuscular administration of an mRNA-based COVID-19 vaccine.