Enterprise Imaging

This new informatics platform is the "future" of radiology research registries, American College of Radiology Board of Chancellors Chair Howard B. Fleishon, MD, said.

Underreporting of findings on CT exams is relatively common, but a deep learning algorithm showed “superior diagnostic performance” in spotting two particular concerns. 

The Radiology Support, Communication and Alignment Network, or R-SCAN, operates by having referrers, rads and patients work together to bolster imaging appropriateness. 

Participating institutions will contribute demographic information, signs and symptoms data, imaging exams, lab tests and patient outcomes.

German researchers recently tested their 24/7 teleradiology program on one ship, and have now expanded to four more.

The clinical tool has facilitated 41 million reviews since its inception, but some doctors are still concerned about being punished for their mistakes, according to a new study. 

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.

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. 

As AI technologies continue to evolve, they may be able to make a significant impact on patient care by reducing the amount of time physicians spend sorting through paperwork and documentation.

Radiologists and referring physicians prefer it when multipart CT scans are read by a single specialist instead of numerous subspecialists, according to new research published in the Journal of the American College of Radiology.

Artificial intelligence and machine learning technologies could fundamentally change healthcare forever, both for providers and their patients. A new analysis published in the New England Journal of Medicine examined that potential shift in great detail.

If you’ve seen one data center, you’ve seen them all. That’s what Charles Rivers believed, at least.