According to a recent survey from Insure.com, almost 40% of Americans put off some healthcare services last year.

The new analysis, published in the Journal of the American College of Cardiology, included findings from more than 1,000 Medicare patients with rheumatic aortic stenosis.

Johns Hopkins researchers have used deep neural networks to draw important insights—prescriptive as well as descriptive—into adaptive immunity from massive stores of T-cell receptor sequencing data.

Researchers reported lower sensitivity and positive predictive values compared to prior studies when using a federally cleared support tool to identify intracranial hemorrhages.

The new AI tool can be used alongside GE Healthcare’s full line of Venue ultrasound systems, including the new Venue Fit. 

In healthcare, it is likely that an increased demand for telehealth will remain, meaning providers will need to continue ramping up their capabilities and personalizing this care.

Noting that multiple sclerosis now affects more people between 50 and 60 than any other age group, researchers have shown how machine-learning gait analysis can help personalize therapy regimens.

Academic researchers in the U.K. have completed a systematic review of 62 representative studies on the use of AI for COVID-19 diagnostics and prognostics on X-rays and CT scans. Their findings may strike some as a setback.