Radiology, imaging, artificial intelligence, Siemens

Credit: AI-Rad Companion chest computed tomography 

By 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.
People in medical attire review images on a screen
By Kat Jercich 02:43 pm November 05, 2020
The company's NUCLeUS platform includes new telestration capabilities that allow multiple users to annotate live stream videos or still images simultaneously.  

Credit: NVIDIA

By Dean Koh 11:44 pm October 18, 2020
The hospital’s radiology department is the first in Thailand to explore research and clinical application of AI on radiology images.
Photo of Pittsburgh through a bridge arch
By Mike Miliard 02:57 pm October 06, 2020
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.
Doctors examine lung a lung X-ray.
By Mike Miliard 10:24 am October 02, 2020
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. 
By Mike Miliard 10:15 am August 26, 2020
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.
By Kat Jercich 03:03 pm August 19, 2020
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.
By Kat Jercich 12:21 pm August 19, 2020
The company says it will use's cloud-native technology to complete its own AI-powered medical imaging platform.

Sectra's medical imaging solution

By Sara Mageit 07:29 am August 11, 2020
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.

By Mike Miliard 11:39 am August 04, 2020
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.