A team of researchers has developed a process for large-scale clinical data annotation that makes it easier to apply deep learning to mammography, according to a new study published in the Journal of Digital Imaging.

Medical imaging reports are the second most common type of patient health information (PHI) received electronically by physicians, according to a new report from the Centers for Disease Control and Prevention (CDC). A majority of physicians who use electronic health records (EHRs) also send imaging reports, search for them and integrate them into their own records.

Communicating verbally—whether that’s over the phone, in person or through voicemail—is the best way to achieve timely follow-up with breast imaging patients whose mammograms are inconclusive, according to a study published ahead of print in Academic Radiology.

Healthcare providers in Scotland have outsourced more than 398,000 imaging exams to external providers since 2015, according to statistics released by the Scottish Liberal Democrats this week.

The American College of Radiology’s Harvey L. Neiman Health Policy Institute and Georgia Institute of Technology in Atlanta have announced a new partnership focused on applying analytics and artificial intelligence (AI) to large medical claims databases.

Structured radiology reports are becoming more common, allowing radiologists to work quickly and document key coding and billing information. But according to a recent commentary published in the Journal of the American College of Radiology, today’s radiology reports are increasingly unhelpful.

Radiology residents around the world typically record experiential learning (EL) in a clinical logbook, but according to a new study published in the Journal of Digital Imaging, modern PACS and RIS technology could very well be used to build the EL portfolios of the future.

Approximately 10 percent of general practitioners are not confident when reading neuroradiology reports, according to a new study published by Clinical Radiology.