#medical-imaging

#medical-imaging

Lying on your back in a big hospital scanner, as still as you can, with your arms above your head for 45 minutes. It doesn't sound much fun. That's what patients at Royal Brompton Hospital in London had to do during certain lung scans, until the hospital installed a new device last year that cut these examinations down to just 15 minutes.

Medical device funding is hitting levels we haven't seen since 2021, with investors pouring billions into diagnostics and imaging companies. While innovation has raced ahead, a fundamental problem still hasn't changed: Critical medical hardware like MRI machines cost millions of dollars and is limited to large hospitals. So how do you take one of the most expensive, hospital-bound technologies and make it available anywhere?

The completion of the decade-long imaging project means qualifying researchers will have access to 1bn de-identified images alongside medical histories and genetic data.

A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and clinicians unique insight into brain function and disease.

According to early testers, the MedGemma model generated inaccurate interpretations on clinical cases, emphasizing the need for additional training on quality annotated data.

"We sent out someone to swap the monitor," Neville told On Call. A days later, the problem recurred, so Neville's company despatched another new display."

Nuclivision’s Nuclarity platform aims to enhance PET imaging by reducing radiotracer dependency, thus improving accessibility and decreasing costs and radiation exposure for patients.