Imaging
The tools can help integrate artificial intelligence into existing applications that can be run from the cloud or on-prem – focused on genomics, imaging, drug discovery and other digital health priorities.
A selection of the announcements made in the exhibit hall this week – from Konica Minolta Healthcare Americas, CenTrak, DT Research, Innovaccer, MDClone and MedeAnalytics.
The model can be used to create products that improve the way radiologists, technicians and support staff interact with medical images, the company's CEO says.
AI could identify early signs of heart disease and even Alzheimer’s in ocular images. But Kerry Goetz, associate director, NEI Office of Data Science and Health Informatics, says a lack of interoperability keeps this image data out of EHRs.
With help from a new point-of-care tool, even its lowest-performing clinics for diabetic retinopathy have met their retinal exam percentage completion goal.
Also, Aster CMI Hospital's Neurology Department has developed a new AI solution for detecting Carpal Tunnel Syndrome.
Researchers recognized Epic, athenahealth, Impact Advisors, Evergreen, Chartis and others for notable performances based on customer experience feedback from this past year.
AI & ML Intelligence
And the tool deployed at Arizona-based SimonMed, which complements the work of subspecialty-trained radiologists, has a 96.9% to 100% sensitivity range per bone, research shows.
Hospital CIOs share their thoughts on what it takes to champion health IT this 2024.
The goals of the partnership include "reducing radiologists' burnout, streamlining workflow, and ultimately improving the quality of patient care," says Rad AI's CEO.