Treadmill desks have gained popularity in recent years, but how would utilizing one impact a radiologist’s ability to interpret medical imaging results?

BE'ER SHEVA, Israel — Genoa, Italy — DiA Imaging Analysis, a leading provider of artificial intelligence (AI)-powered ultrasound analysis tools, announced today that it has partnered with the Italian healthcare IT company Ebit (Esaote Group), to offer DiA’s LVivo Cardiac Toolbox as an integrated part of Ebit's SUITESTENSA CVIS (Cardiovascular Information System) PACS.

Interventional radiologists at UC-San Francisco have adopted the popular smart-speaker system Google Home (aka “Hey Google,” “OK Google”) for use in the surgical suite.

Centering a radiology department’s workflow around the electronic health record (EHR) can improve efficiency and make radiologists happy, according to a new study published in Academic Radiology.

Follow-up imaging adherence rates vary based on a number of factors, according to new research published in the American Journal of Roentgenology. The authors noted that closely monitoring such patterns can help providers engage patients and minimize risk.

Researchers at Harvard and several institutions in Italy have shown that clinicians managing neuromuscular conditions receive clinically relevant information more consistently from structured radiology reports than from reports rendered in free text. And the gains are greatest when the reporting radiologist is not deeply experienced.

CT scans and mammograms can reveal valuable information about a patient’s heart health, even if the exam was not specifically ordered for that purpose.

Natural language processing (NLP) could help radiology providers anticipate fluctuations in demand and provide faster patient care, according to a new study published in the Journal of the American College of Radiology.