Playing videogames during breaktimes reduces activation in the brain’s supplementary motor area, and the falloff shows up in findings on fMRI and as poorer functional performance in short-term memory tests when people get back to work.

Women initially deemed to have a less than 2% chance of developing breast cancer often skip the recommended follow-up MRI six months later. Johns Hopkins researchers are attempting to understand why, and recently published some early insights into the issue.

The Medical Imaging & Technology Alliance (MITA) is giving radiologists an assist in efforts to address device-related cybersecurity concerns at their practices. 

Shared decision-making (SDM) plays a key role in patient-centered care. And according to a new analysis published in the American Journal of Roentgenology, it’s a process radiologists can be more involved in than they may think.

Siemens Healthineers announced Thursday, Sept. 26, that it has received FDA clearance for three modules of the company’s AI-Rad Companion Chest CT software.

Every patient’s medical history should include a “Past Imaging History” section specifically designed to provide context about their health, according to a new commentary published in Current Problems in Diagnostic Radiology.

Enterprise imaging (EI) is one of the most important areas of focus in modern healthcare, especially in image-heavy specialties such as radiology and cardiology. A new webinar from the teams at  Health Exec and Change Healthcare, “Realizing the Value of Enterprise Imaging: 5 Key Strategies for Success,” examined the value of EI and why healthcare providers need to treat it so seriously. 

Nearly 200 unprotected computer servers full of medical data have been identified throughout the United States. The discovery, part of a new report from ProPublica and Bayerischer Rundfunk, covers the data of more than 5 million Americans.

Zebra Medical Vision has announced a new partnership with Medsynapic Pvt Ltd, a healthcare IT company based out of Pune, India.

Standardized imaging protocols can help healthcare providers deliver high-quality care at a consistent rate, but getting everyone on the same page is often challenging.

When physicians place orders for imaging examinations, they often leave out key information that could help the radiologist provide better patient care. The authors of a new analysis published in the European Journal of Radiology have proposed a standardized grading system, the Reason for exam Imaging Reporting and Data System (RI-RADS), that could combat this issue.

Natural language processing (NLP) and machine learning can help track when free-text radiology reports include follow-up imaging recommendations, according to a new study published in the Journal of Digital Imaging.