
Artificial intelligence tool designed to improve radiologist cancer detection performance.

Artificial intelligence tool designed to improve radiologist cancer detection performance.

Diagnostic Imaging's Weekly Scan; July 10, 2020

Philips thinks outside-the-box by turning shipping containers into individual CT and X-ray scan rooms.

An existing program set one London hospital up for success in managing images remotely during COVID-19.

The RSNA Research and Education Foundation awards 93 grants from 47 institutions.

One expert makes the case that the negative hype around artificial intelligence is not warranted and the radiologist’s role is secure.

A network of nearly 50 CT facilities and the Moscow government reveal how their collaboration is working to promptly diagnose patients with COVID-19.

Rapid ASPECTS receives clearance as first neuroimaging analysis device in computer-aided diagnostic category.

ACR and RSNA leaders request the FDA slow its momentum with AI tools that work without radiologist oversight.

Partnering healthcare providers look for – and value – six main things from radiology.

The Association of American Medical Colleges predicts the specialist shortfall could swell to nearly 42,000 by 2033.

Tampa Bay-based practice launches text and online registration process for maximum social distancing.

Radiologists warn this magnetic cosmetic attachment could pose a risk for patients or compromise image quality.

510(k) clearance applies to four critical abnormalities; two are exclusive to Qure.ai’s product.

Diagnostic Imaging's Weekly Scan: July 3, 2020

Konica Minolta leaders outline the challenges to – and discuss tech solutions for -- provider and IT productivity during SIIM2020.

Internal reporting app, designed for radiologists, increased provider participation and captured incidents in a greater number of categories.

The industry should pay more attention to the interplay between providers and AI tools, says Elizabeth Krupinski, Ph.D., during SIIM 2020.

Diagnostic Imaging Weekly Scan: June 26, 2020

Amazon Alexa skill RAD-Assistant successfully retrieves pulmonary nodule and ovarian cyst clinical follow-up guidelines.

Alexander Towbin, M.D., from Cincinnati Children’s Hospital Medical Center shares his thoughts during SIIM 2020.

The automated algorithm can help save both time and money and minimize clinical subjectivity.

Go-to steps from a senior imaging informatics analyst during SIIM 2020 to bolster security efforts.

COVID-19 is an additional factor in patients shying away from follow-up exams. Nuance Communication’s Sander Kloet shares his perspectives from SIIM on addressing this issue.

A dashboard to track the total image analysis time, as well as a daily performance report, reduced emergency department turnaround times and improved workflow.