Dynamic contrast-enhanced magnetic resonance lymphangiography: a simple algorithm for image interpretation.

Dynamic contrast-enhanced magnetic resonance lymphangiography is a high-resolution imaging technique that has emerged as the preferred method for evaluating lymphatic anatomy and flow dynamics due to its precise anatomical detail. The lymphatic system has a complex anatomical distribution, and variability is common among individuals with cardiac abnormalities, particularly congenital heart disease. Lymphatic imaging has recently been revolutionized by the introduction of MR lymphangiography.

From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models.

Expert feedback on trainees' preliminary reports is crucial for radiologic training, but real-time feedback can be challenging due to non-contemporaneous, remote reading and increasing imaging volumes. Trainee report revisions contain valuable educational feedback, but synthesizing data from raw revisions is challenging. Generative AI models can potentially analyze these revisions and provide structured, actionable feedback.

MRI scarcity in low- and middle-income countries.

Since the introduction of MRI as a sustainable diagnostic modality, global accessibility to its services has revealed a wide discrepancy between populations-leaving most of the population in LMICs without access to this important imaging modality. Several factors lead to the scarcity of MRI in LMICs; for example, inadequate infrastructure and the absence of a dedicated workforce are key factors in the scarcity observed. RAD-AID has contributed to the advancement of radiology globally by collaborating with our partners to make radiology more accessible for medically underserved communities.

Case competition sessions: a global education and academic engagement tool.

Background: Radiology virtual teaching sessions utilize live video conferencing to promote collaborative learning and engagement by discussing radiology cases. Because of its convenience and flexibility, this mode of education has gained popularity, particularly after the corona virus disease 2019 pandemic.

Objective: We describe our experience in organizing a series of "Global Health Imaging Case Competitions" for trainees in low- and middle-income countries (LMICs).

Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations.

Rationale And Objectives: Finding comparison to relevant prior studies is a requisite component of the radiology workflow. The purpose of this study was to evaluate the impact of a deep learning tool simplifying this time-consuming task by automatically identifying and displaying the finding in relevant prior studies.

Materials And Methods: The algorithm pipeline used in this retrospective study, TimeLens (TL), is based on natural language processing and descriptor-based image-matching algorithms.

Radiology for Thoracic Conditions in Low- and Middle-Income Countries.

With a disproportionately high burden of global morbidity and mortality caused by chronic respiratory diseases (CRDs) in low and middle-income countries (LMICs), access to radiological services is of critical importance for screening, diagnosis, and treatment guidance.

Balancing Patient Autonomy, Surrogate Decision Making, and Physician Non-Maleficence When Considering Do-Not-Resuscitate Orders: An Ethics Case Analysis.

[Full article available at http://rimed.org/rimedicaljournal-2017-10.asp].

Cerebral Epidural Abscess Secondary to Blastomyces Masquerading as an Epidermoid Tumor.

There have been infrequent reports of isolated central nervous system blastomycosis. We report a case of intracranial epidural abscess secondary to in a patient residing in Rhode Island with a history of remote travel to an endemic area. The clinical, radiographic, and pathologic features of this unique case are reviewed.