Radiology

Artificial intelligence was an integral part of this year’s European Congress of Radiology, in Vienna, Austria, and this was showcased in a captivating plenary lecture, on the second day of Congress.

New research suggests that annual breast cancer screening starting at age 40 years, and continuing to age 79 or older, results in the highest reduction in mortality with minimal risks.

Recent studies have suggested that augmented reality may help radiologists perform safer and more efficient CT-guided ablations. AR has the ability to merge virtual 3D objects seamlessly with the real-world environment.

Research suggests that, in comparison with EID-CT myelograms, photon-counting detector CT myelography could facilitate earlier diagnosis of spontaneous intracranial hypotension, showing higher image quality.

Researchers documented for the first time the use of AI predicting short- and long-term survival for adult patients with brain cancer after receiving radiotherapy. Read more.

Recent neuroimaging techniques have revealed that ageing-related trajectories of the structures and functions of the brain in patients with amnestic mild cognitive impairment are distinct from those in healthily-ageing individuals.

A predictive model, integrating CT and MRI images, as well as deep-learning techniques, has demonstrated success in diagnosing lymph node metastasis.

It has been proved that a novel imaging technique can identify subtypes of the adrenal gland disorder primary aldosteronism more accurately than traditional diagnostic methods.