Photon-counting computed tomography (PCCT) imaging uses a new detector technology to
provide added information beyond what can already be obtained with current CT and MR …

Interpretability in machine learning models is important in high-stakes decisions such as
whether to order a biopsy based on a mammographic exam. Mammography poses important …

… Another author (FR), who is not a consultant for or employee of any medical industry, had
control of data and information that might have presented a conflict of interest. …

After nearly disappearing, invasive lymphangiography not only has resurged, but new
approaches have been developed to guide lymphatic interventions. At the same time, noninvasive …

Please see the Editorial Comment by Gregory Vorona discussing this article. Photon-counting
detector (PCD) CT represents the most recent generational advance in CT technology. …

High-accuracy diagnostic imaging is needed to diagnose and manage coronary artery
disease as well as to allow risk stratification for future events. Advancements in multidetector …

CSF-venous fistulas are an increasingly recognized type of CSF leak that can be particularly
challenging to detect, even with recently improved imaging techniques. Currently, most …

Accurate segmentations in medical images are the foundations for various clinical applications.
Advances in machine learning-based techniques show great potential for automatic …

Objective To assess the diagnostic performance and reader confidence in determining the
resectability of pancreatic cancer at computed tomography (CT) using a new deep learning …

Objectives To compare the image quality and hepatic metastasis detection of low-dose
deep learning image reconstruction (DLIR) with full-dose filtered back projection (FBP)/iterative …