The American College of Radiology announced the formation of the Data Science Institute (DSI), an inter-disciplinary organization aiming to guide the implementation of artificial intelligence tools in radiology.

Surgeons and Specialists View Imaging Studies from Their Mobile Devices To Make Treatment and Transfer Decisions      

When it comes to ensuring patients receive the best possible imaging experience, Star Valley Medical Center in Afton, Wyo. went the extra mile so that patients don’t have to.

To learn how smart our early tool-making ancestors were, an interdisciplinary research team is scanning the brains of modern humans to find out what kind of brainpower is needed to complete tool-making tasks.

A group of researchers from Massachusetts General Hospital cut the incidence of delayed image delivery to PACS by two-thirds by using an automated system that alerted managers when the time-to-PACS (TTP) had exceeded a certain threshold. The internally developed web application—called Tempus Fugit—demonstrates the potency of targeted workflow intervention in an imaging department.

A $1 million data science contest organized by Booz Allen Hamilton asked entrants to design deep-learning algorithms to identify lung cancer using just 2,000 images—a small data set in the machine learning world. While the winning entry won’t necessarily be used in clinical settings, the contest highlights the potential for crowd-sourcing inspiration.  

Direct Orthopedic Care (DOC), a group of orthopedic-only urgent care clinics for adults and children, has selected Konica Minolta Healthcare, as its preferred provider for diagnostic imaging and Healthcare IT solutions across several new facilities in Texas and California.

Researchers from the department of radiology at Memorial Sloan Kettering Cancer Center tracked improvements after implementing an image quality reporting system in their clinical practice. The PACS-integrated software allowed radiologists to quickly and easily fill out incident reports for a variety of issues, including missing images, incomplete documentation and labeling, and problems with the image library.