Medical schools are increasingly offering their residents the chance to participate in international experiences and collaborate on research with multiple institutions, particularly in resource-strapped countries. 

In an exclusive conversation with HealthImaging, John D. Banja, a professor of medical ethics at Emory University, discusses plans to launch a series of audio chats with radiologists, exploring one of the profession's stickiest issues.

Radiology has undertaken many efforts to reduce patient exposure to radiation during imaging exams, and findings from a new report suggest those campaigns have made a significant impact.

Adopting a “CTA-for-All” policy helped radiologists detect large vessel occlusion (LVO) and improved outcomes for patients with acute ischemic stroke, according to a recent study published in Stroke.  

Google was set to publish a dataset containing 100,000 chest x-rays, until it received an urgent call from the National Institutes of Health.

A pair of Penn researchers will scan 100 awake 3-5 year old children, comparing the quality of traditional MRI methods to those taken using a motion-correction technology to better understand the connection between opioids and brain development.

Polymyalgia rheumatica is a musculoskeletal disorder that causes aching and stiffness in the upper arms, neck, lower back and thighs and can be difficult for clinicians to confidently pinpoint since its symptoms occur in many other rheumatic diseases.

The team found they could maintain the positive impact of therapy, while also minimizing its adverse effects.

The boost in efficiency for measuring such scarring could make it easier for clinicians to overcome the time-consuming process of quantifying late gadolinium enhancement (LGE)—a proven predictor of hypertrophic cardiomyopathy.

Patients who are enrolled in Ireland’s public health system are waiting, on average, 120 days more for a brain MRI compared to those who can afford private coverage, the Irish Times reports.

In fact, clinicians who took a second look at x-rays using the deep learning software improved their sensitivity, on average, by 5.2%.

The novel method uses a deep neural network to improve fluorescence lifetime imaging, which allowed scientists at Rensselaer Polytechnic Institute to view molecular-level interactions within cells.