Imaging
Credit: AI-Rad Companion chest computed tomography
Sponsored
05:00 am
November 24, 2020
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.
Credit: NVIDIA
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.
Sectra's medical imaging solution
The move is expected to advance how hospitals share and access diagnostic imaging across the south coast regions of the UK.
"The system either queries the expert to diagnose the patient based on their chest X-ray and medical records, or makes the diagnosis itself by solely looking at their X-ray," CSAIL researchers explain.
The system, developed at MIT's Computer Science and Artificial Intelligence Lab, can assess X-ray images and diagnose some conditions, but also appreciates its own limits.
