AI-powered analysis can now assess cognitive decline by noting gaps in chronological versus biological “brain age.”

The new technology could help develop more tailored treatment plans. 

The unfolding scenario is packing some serious threats to the livelihoods of the unprepared.   

A commercially available AI package has proven adept at distinguishing between two closely similar but unequally urgent conditions on chest X-rays.

According to data submitted to the FDA, the platform has been linked to an accuracy of 90%, sensitivity of 87.8% and specificity of 83%.

Stanford researchers have created synthetic yet highly realistic chest X-rays by customizing an open-source AI model called Stable Diffusion for rendering text as images.

Cloud giant Amazon Web Services is expanding its 1½ -year-old HealthLake data-management service in two imaging-specific directions. In the process it’s drawing vocal buy-in from healthcare providers as well as imaging vendors.

The new study, presented at the AHA Scientific Sessions 2022 conference in Chicago, focused on data from more than 2,000 patients. 

When implanted in the brain, the chips can lessen symptoms by modulating abnormal brain activity.

Abhinhav Jha, PhD, discusses his plans for a $314,807 NIH grant to explore the ethics of AI in imaging given its inherent uncertainties.