Artificial Intelligence

Genomic medicine researchers at the laboratory have been using artificial intelligence, developed as part of Microsoft's Project Hanover, to help manage the vast amount of research data needed to power its precision oncology initiatives.

The leading-edge technology could provide vastly faster power and processing speeds, and enable fundamentally different algorithmic search and data homogenization strategies.

The two funds are the Artificial Intelligence and Digital Translation Fund, which boasts initial funding of $30 million over five years, and the Translational Innovation Fund, which will provide $50 million in funding over six years.

The edge computing technology's neural network algorithms can help drive workflow efficiency, detect gaps in care and deliver real-time intelligent notifications to staff, the AI developers say.

The Mayo Clinic's new 10-year partnership with Google Cloud aims to look for the next breakthroughs that diagnose and treat complex and serious illness or conditions more effectively, says CIO Cris Ross.

A new report from EY shows how health systems need to embrace AI, social, mobile, analytics, cloud and sensor technologies to unlock the potential of their data.

Researchers will also focus on adapting existing clinical decision support methods from the acute care sector, collaborating with clinicians to understand reliable signs of patient deterioration.

Researchers at Utrecht University Medical Center (UMC) built a flagship AI infrastructure that can run any algorithms in clinical practice, regardless of vendor equipment.

The technology examines vital signs and other biomarkers to predict the likelihood of infection up to 48 hours ahead of clinical suspicion.

An interview with Dr Christoph Zindel, member of the Managing Board at Siemens Healthineers, responsible for the Imaging and Advanced Therapies business segments.