As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data
processing techniques. One such technique, deep learning (DL), has become a remarkably …

Rationale and Objectives The coronavirus disease of 2019 (COVID-19) pandemic has
challenged the educational missions of academic radiology departments nationwide. We …

With continued technologic advances, it is not surprising that gaming techniques are increasingly
being used in radiology residency programs. This comprehensive review on gaming in …

Artificial intelligence (AI) is poised to make a veritable impact in medicine. Clinical decision
support (CDS) is an important area where AI can augment the clinician's capability to collect, …

Rationale and Objectives The conceptualization of acetabular fractures can present a
daunting challenge to radiology residents. 3D models have been shown to aid in the spatial …

Social media is a ubiquitous part of society and used by many healthcare professionals,
including radiologists. This article prepared by the 2019–2020 Radiology Research Alliance …

Objective: To compare accuracy of CT versus radiographs in detecting myeloma lesions.
Materials and Methods: Retrospective review of patients who were simultaneously evaluated …

Rationale and Objectives The COVID-19 pandemic significantly altered the residency
application and interview process. Due to social distancing concerns, residency programs have …

The clinical management of COVID-19 is challenging. Medical imaging plays a critical role
in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-…

In the last decade, there has been a heightened awareness of burnout in medicine, particularly
in medical education. It has garnered further attention during the COVID-19 pandemic, …