X-Ray

Azurion Lung Edition is supports precision diagnosis and minimally invasive therapy in one room.

Improving patient communication not only augments patient understanding of their radiation exposure with imaging studies, but it bolsters trust in their healthcare providers, as well.

Bringing mobile X-ray into nursing homes shortens the experience for patients living with dementia, helping them feel safe and calm.

The Society of Nuclear Medicine & Molecular Imaging released new recommendations for performing these studies during the pandemic.

CT use has declined precipitously with pediatric appendicitis patients without a significant change in negative appendectomy rates.

Past RBMA President Christie James, American College of Radiology Commission on Economics Chair Greg Nicola, M.D., and Revenue Cycle Coding Strategies President Melody Mulaik discuss the radiology revenue cycle management challenges and solutions of the pandemic.

Virtual simulation models can help identify the best ways to use different modalities to improve patient care during the pandemic.

Multi-sensor device captures high-resolution images in seconds with single exposure to reduce dose.

Imaging volumes fell farther across most modalities in outpatient imaging centers and are taking longer to rebound.

Severe intimate partner violence is five-fold higher this year than in the previous three – radiologists have the opportunity to proactively identify at-risk patients.

Medical imaging and data center will support development of artificial intelligence and medical advancements during the pandemic.

X-ray phase contrast imaging provides better soft tissue differentiation and tumor detection.

A team of international experts published seven recommendations for the use of chest imaging in the diagnosis and management of COVID-19-positive patients.

Almost all studies and modalities have seen significant declines in payment since 2007.

Lung cancer, X-ray improvements, Post-Pandemic Success, and Minority Patients and COVID-19

Siamese neural network can predict intubation and which patients were likely to die within three days of hospital admission.

Racial and ethnic minority patients show more severe cases on chest X-ray, fueled by socioeconomic factors.

Technique splits X-ray beam into thin streams that deliver the same image quality with reduced dose.

Using a deep learning-based automatic detection algorithm can identify more lung cancers on chest X-ray, potentially avoiding unneeded chest CT and accelerating treatment.

From virus behavior, to patient impact, to imaging implementation – what we know so far.

University Hospitals Cleveland Medical Center/Case Western Reserve saw a 55-percent overall imaging volume drop during the pandemic and unearthed some commonalities with other, harder-hit areas.

From February to April 2020, outpatient imaging in rural areas fell 66 percent.

Diagnostic Imaging's Weekly Scan; July 10, 2020

Philips thinks outside-the-box by turning shipping containers into individual CT and X-ray scan rooms.

Patients positive for the virus are more likely to experience barotrauma, putting them at risk for longer hospital stays and mortality.

Radiologists who use more mouse clicks to process radiographs have higher turnaround times.

Database intended to be the largest open database of COVID-19-related imaging worldwide.

Diagnostic Imaging Weekly Scan: June 26, 2020

Multisystem Inflammatory Syndrome in Children appearing in pediatric patients with COVID-19 infection and exposure.

Deep learning algorithm is more accurate in predicting which patients with knee osteoarthritis might need a total knee replacement.