Imaging

Whether assessing vaccine safety and efficacy, assisting with X-ray readings or tracking communities' vulnerability to COVID-19, artificial intelligence has been put to work in new and innovative ways throughout the pandemic.

Discovered by CyberMDX, the flaw, MDhex-Ray, could allow remote exploits that would compromise connected radiology devices – enabling access to and potential manipulation of protected health data.

The demand for radiology imaging is increasing, resulting in patients waiting longer for their radiology procedures to be reported. Siemens Healthineers has responded to this by releasing the AI-powered post-processing and reporting solution, AI-Rad Companion.

The company's NUCLeUS platform includes new telestration capabilities that allow multiple users to annotate live stream videos or still images simultaneously.  

The hospital’s radiology department is the first in Thailand to explore research and clinical application of AI on radiology images.

Working with AWS, researchers from UPMC, the University of Pittsburgh, and Carnegie Mellon are building new machine learning tools for breast cancer and depression screening.

The machine learning algorithm, already in place at a dozen M Health Fairview hospitals, will soon be available to other provider customers via Epic's App Orchard. 

Dragon Medical One voice technology will be integrated with mCODE core data, enabling easier documentation within clinical workflows – and a new partnership with Mayo will explore automation opportunities.

The cloud-based platform allows hospital users to create cases from scanned whole slide images and it's cross-compatible with most other WSIs, the company says.

The company says it will use Nucleus.io's cloud-native technology to complete its own AI-powered medical imaging platform.