Imaging

The partnership will be used to advance patient care at Rennes University Hospital and propel the hospital’s clinical research and innovation strategies.

In service since 2018, the Siriraj Mobile Stroke Unit has helped 380 stroke patients receive emergency medical treatment in Thailand so far.

The software can automatically mark potential lesions based on the use of AI to learn from endoscopic images of more than 10,000 lesions, as well as learning from the observations of expert physicians.

Patients and providers should work as a team to ensure accuracy in health records and diagnosing, says PocketHealth Chief Patient Officer Dave deBronkart.

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.