Artificial Intelligence

Those pandemic-era technologies will reach the fabled Plateau of Productivity sooner than other emerging innovations approaching the peak of the curve, such as digital twins, data fabric and SASE network architecture, researchers say.

Moscow’s department of health is using an artificial intelligence (AI) platform to detect symptoms of lung cancer in CT scans, as part of a project to implement AI technology for radiology.

The system had already been using Synchronous Health's services to address burnout and trauma among its caregivers.

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

A new article in the Journal of the American Medical Informatics Association points to the dissemination of "under-developed and potentially biased models" in response to the novel coronavirus.

The initiative will use a mental health monitoring tool,= developed by Johns Hopkins tech startup Rose to track stress levels among staff and identify triggers.

In a HIMSS Learning Center presentation, Mayo CIO Cris Ross, Platform President Dr. John Halamka and other experts will show how the pandemic is accelerating the health system's infrastructure transformation.

Top among the digital solutions that can help clinicians expedite the delivery of cancer care are AI-powered decision support systems.  

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.

A healthcare system in which stakeholders share, adopt and apply medical knowledge in real time enables improved care, accelerated workflows, streamlined business processes and a better balance of resources with demand.